feat: a lot of stuff

This commit is contained in:
Henri Saudubray 2025-05-12 14:50:10 +02:00
parent dd6152833f
commit 6cec3d6c5d
Signed by: hms
GPG key ID: 7065F57ED8856128
22 changed files with 476 additions and 276 deletions

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@ -18,4 +18,4 @@
(package
(name hsim)
(synopsis "An executable semantics for the simulation of hybrid systems")
(depends ocaml))
(depends ocaml menhir sundialsml))

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@ -1,6 +1,6 @@
open Hsim.Types
open Solvers
open Solvers.Zls
(* let hybrid bouncing () = (x, y) where
rec der y = y' init y0
@ -11,8 +11,8 @@ open Solvers
let of_array = Bigarray.Array1.of_array Bigarray.Float64 Bigarray.c_layout
type state =
{ zin : Zls.zarray;
lx : Zls.carray; (* [h';h;x';x] *)
{ zin : zarray;
lx : carray; (* [h';h;x';x] *)
i : bool }
let g = -9.81
@ -20,39 +20,40 @@ let y0 = 50.0
let y'0 = 0.0
let x0 = 0.0
let x'0 = 1.0
let zsize = 1
let csize = 4
let bouncing_ball () =
let zfalse = Zls.zmake 1 in
let fder _ (y: Zls.carray) (yd: Zls.carray) =
let fder y yd =
if true (* y.{1} >= 0.0 *) then
begin yd.{0} <- g; yd.{1} <- y.{0}; yd.{2} <- 0.0; yd.{3} <- y.{2} end
else
begin yd.{0} <- 0.0; yd.{1} <- 0.0; yd.{2} <- 0.0; yd.{3} <- 0.0 end in
let fzer _ (y: Zls.carray) (zout: Zls.carray) = zout.{0} <- -. y.{1} in
let fout _ (y: Zls.carray): Zls.carray = of_array [| y.{1} |] in
let step ({ zin; lx; _ } as s) _ : Zls.carray * state =
else begin yd.{0} <- 0.0; yd.{1} <- 0.0; yd.{2} <- 0.0; yd.{3} <- 0.0 end;
yd
let fzer y zo = zo.{0} <- -. y.{1}; zo
let fout _ _ y = of_array [| y.{1} |]
let jump _ = true
let horizon _ = max_float
let cget s = s.lx
let cset s lx = { s with lx }
let zset s zin = { s with zin }
let step ({ zin; lx; _ } as s) zfalse =
let lx = if zin.{0} = 1l then
of_array [| -. 0.8 *. lx.{0}; 0.0; lx.{2}; lx.{3} |] else lx in
of_array [| s.lx.{1} |], { zin=zfalse; lx; i=false } in
let cget s = s.lx in
let cset s lx = { s with lx } in
let zset s zin = { s with zin } in
let yd = Zls.cmake 4 in
let zout = Zls.cmake 1 in
let state = { zin=zfalse; lx=of_array [|y'0;y0;x'0;x0|]; i=true } in
let reset _ _ = state in
let jump _ = true in
let zsize = 1 in
HNode
{ state = state;
fder = (fun _ _ y -> fder 0.0 y yd; yd);
fzer = (fun _ _ y -> fzer 0.0 y zout; zout);
fout = (fun s _ y -> fout s y);
step;
horizon = (fun _ -> max_float);
cset; cget; zset; reset; jump; zsize }
of_array [| s.lx.{1} |], { zin=zfalse; lx; i=false }
let bouncing_ball ()
: (state, _, _, carray, carray, carray, zarray, carray) hnode
= let yd = cmake csize in
let zout = cmake zsize in
let zfalse = zmake 1 in
let fder _ _ y = fder y yd in
let fzer _ _ y = fzer y zout in
let step s _ = step s zfalse in
let init _ = { zin=zfalse; lx=of_array [|y'0;y0;x'0;x0|]; i=true } in
let reset _ _ = init () in
HNode { init; fder; fzer; fout; step; reset; horizon;
jump; cset; cget; zset; csize; zsize }
let errmsg = "Too many arguments for the model (needed: 0)"
let bouncing_ball = function
let init = function
| [] -> bouncing_ball ()
| _ -> raise (Invalid_argument errmsg)

8
exm/model.ml Normal file
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@ -0,0 +1,8 @@
open Hsim.Types
open Solvers.Zls
module type Model =
sig
type state
val init : string list -> (state, 'b, 'c, carray, carray, carray, zarray, carray) hnode
end

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@ -6,12 +6,15 @@ let of_array a = Bigarray.Array1.of_array Bigarray.Float64 Bigarray.c_layout a
type state = { si : bool; sx : carray }
let yd = cmake 3
let zout = cmake 1
let csize = 3
let zsize = 1
let fzer _ _ _ = zout
let fder y yd omega =
yd.{0} <- omega *. y.{1}; yd.{1} <- -.omega *. y.{0}; yd.{2} <- 1.0; yd
let fout _ _ y = of_array [| y.{0}; y.{1}; y.{2} |]
let step { si; sx } sin0 cos0 =
let sx = if si then of_array [| sin0; cos0; 0.0 |] else sx in
of_array [| sx.{0}; sx.{1}; sx.{2} |], { sx; si=false }
let cget s = s.sx
let cset s lx = { s with sx=lx }
let zset s _ = s
@ -21,21 +24,20 @@ let horizon _ = max_float
let sinus_cosinus theta0 omega =
let sin0 = Float.sin theta0 in
let cos0 = Float.cos theta0 in
let fder _ _ y =
yd.{0} <- omega *. y.{1}; yd.{1} <- -.omega *. y.{0}; yd.{2} <- 1.0; yd in
let step { si; sx } _ =
let sx = if si then of_array [| sin0; cos0; 0.0 |] else sx in
of_array [| sx.{0}; sx.{1}; sx.{2} |], { sx; si=false } in
let state = { sx=of_array [| sin0; cos0; 0.0 |]; si=true } in
let reset _ _ = state in
HNode {
state; fder; fzer; fout; step; horizon; cset; cget; zset; zsize; reset; jump
}
let yd = cmake csize in
let zout = cmake zsize in
let fder _ _ y = fder y yd omega in
let fzer _ _ _ = zout in
let step s _ = step s sin0 cos0 in
let init _ = { sx=of_array [| sin0; cos0; 0.0 |]; si=true } in
let reset _ _ = init () in
HNode { init; fder; fzer; fout; step; reset; horizon;
jump; cset; cget; zset; csize; zsize }
let errmsg_invalid = "Invalid arguments to model (needed: 2 floats)"
let errmsg_few = "Too few arguments to model (needed: 2 floats)"
let errmsg_many = "Too many arguments to model (needed: 2 floats)"
let sinus_cosinus = function
let init = function
| [t0; om] ->
let t0, om = try float_of_string t0, float_of_string om
with Failure _ -> raise (Invalid_argument errmsg_invalid) in

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@ -57,6 +57,7 @@ let sqrt () =
let yd = cmake 2 in
let zout = cmake 1 in
let zsize = 1 in
let csize = 2 in
let s_init =
{ s_encore = false;
s_auto = Good;
@ -64,15 +65,15 @@ let sqrt () =
s_zin = zmake 1 } in
let reset _ _ = s_init in
let jump _ = true in
HNode { state = s_init;
HNode { init = (fun _ -> s_init);
fder = (fun s _ y -> fder s y yd; yd);
fzer = (fun s _ y -> fzero s y zout; zout);
fout = (fun s _ y -> fout s y);
step = (fun s a -> fstep s a);
horizon = (fun s -> if s.s_encore then 0.0 else max_float);
cset; cget; zset; zsize; reset; jump }
cset; cget; zset; zsize; csize; reset; jump }
let errmsg = "Too many arguments to model (needed: 0)"
let sqrt = function
let init = function
| [] -> sqrt ()
| _ -> raise (Invalid_argument errmsg)

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@ -11,15 +11,13 @@ let mu = 5.0
let x0 = 1.0
let y0 = 1.0
let csize = 2
let zsize = 1
let yd = cmake 2
let zout = cmake 1
let fder _ _ y =
let fder y yd =
yd.{0} <- y.{1};
yd.{1} <- (mu *. (1.0 -. (y.{0} *. y.{0})) *. y.{1}) -. y.{0};
yd
let fzer _ _ _ = zout
let fout _ _ y = of_array [| y.{0}; y.{1} |]
let step { i; lx } _ =
let lx = if i then of_array [| x0; y0 |] else lx in
@ -27,17 +25,22 @@ let step { i; lx } _ =
let cget s = s.lx
let cset s lx = { s with lx }
let zset s _ = s
let state = { lx=of_array [| x0; y0 |]; i=true }
let reset _ _ = state
let jump _ = true
let horizon _ = max_float
let van_der_pol () = HNode {
state; fder; fzer; fout; step; reset; horizon; jump; cset; cget; zset; zsize
}
let van_der_pol ()
: (state, _, _, carray, carray, carray, zarray, carray) hnode
= let yd = cmake csize in
let zout = cmake zsize in
let fder _ _ y = fder y yd in
let fzer _ _ _ = zout in
let init _ = { lx=of_array [| x0; y0 |]; i=true } in
let reset _ _ = init () in
HNode { init; fder; fzer; fout; step; reset; horizon;
jump; cset; cget; zset; csize; zsize }
let errmsg = "Too many arguments for the model (needed: 0)"
let van_der_pol = function
let init = function
| [] -> van_der_pol ()
| _ -> raise (Invalid_argument errmsg)

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@ -10,6 +10,8 @@ bug-reports: "https://codeberg.org/17maiga/hsim/issues"
depends: [
"dune" {>= "3.17"}
"ocaml"
"menhir"
"sundialsml"
"odoc" {with-doc}
]
build: [

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@ -1,13 +1,15 @@
open Hsim
open Types
open Solvers
open Examples
open Common
open Types
let sample = ref 10
let stop = ref 30.0
let greedy = ref false
let inplace = ref false
let sundials = ref false
let steps = ref 1
let model = ref None
@ -25,7 +27,8 @@ let opts = [
"-stop", Arg.Float (gt0f stop), "n \tStop time (default=10.0)";
"-debug", Arg.Set Debug.debug, "\tPrint debug information";
"-greedy", Arg.Set greedy, "\tUse greedy simulation";
"-inplace", Arg.Set inplace, "\tUse greedy simulation";
"-sundials", Arg.Set sundials, "\tUse sundials (not compatible with greedy)";
"-inplace", Arg.Set inplace, "\tUse imperative solvers";
"-steps", Arg.Int (gt0i steps), "n \tSplit into [n] steps (default=1)";
]
@ -33,26 +36,47 @@ let errmsg = "Usage: " ^ Sys.executable_name ^ " [OPTIONS] MODEL\nOptions are:"
let () = try Arg.parse (Arg.align opts) set_model errmsg with _ -> exit 2
let output = Output.print !sample
let m =
match !model with
| None -> Format.eprintf "Missing model\n"; exit 2
| Some "ball" -> (module Ball : Model.Model)
| Some "vdp" -> (module Vdp)
| Some "sincos" -> (module Sincos)
| Some "sqrt" -> (module Sqrt)
| Some s -> Format.eprintf "Unknown model: %s\n" s; exit 2
let c = StatefulRK45.(if !inplace then InPlace.csolve else Functional.csolve)
let z = StatefulZ.(Functional.zsolve)
let s = Solver.solver_c c z
open Format
let m = match !model with
| None -> eprintf "Missing model\n"; exit 2
| Some "ball" -> Ball.bouncing_ball
| Some "vdp" -> Vdp.van_der_pol
| Some "sincos" -> Sincos.sinus_cosinus
| Some "sqrt" -> Sqrt.sqrt
| Some s -> eprintf "Unknown model: %s\n" s; exit 2
let m = try m !modelargs with Invalid_argument s -> eprintf "%s\n" s; exit 2
let z = if !inplace then (module StatefulZ.InPlace : Zsolver.ZsolverC)
else (module StatefulZ.Functional : Zsolver.ZsolverC)
let state = if !inplace then (module State.InPlaceSimState : State.SimState)
let st = if !inplace then (module State.InPlaceSimState : State.SimState)
else (module State.FunctionalSimState : State.SimState)
let sim = if !greedy
then let open Sim.GreedySim(val state) in run_until_n m s
else let open Sim.LazySim(val state) in run_until_n m (d_of_dc s)
let () = sim !stop !steps output
let () =
(* if !sundials then *)
(* if !greedy then *)
(* (Format.eprintf "Sundials does not support greedy simulation\n"; exit 2) *)
(* else *)
(* let open StatefulSundials in *)
(* let c = if !inplace then (module InPlace : Csolver.Csolver) *)
(* else (module Functional : Csolver.Csolver) in *)
(* let open (val c) in let open (val z) in *)
(* let s = Solver.solver csolve (d_of_dc zsolve) in *)
(* let open Sim.LazySim(val st) in run_until_n m s *)
(* else *)
let open (val m) in
let m = init !modelargs in
let open StatefulRK45 in
let c = if !inplace then (module InPlace : Csolver.CsolverC)
else (module Functional : Csolver.CsolverC) in
let open (val c) in let open (val z) in
let s = Solver.solver_c csolve zsolve in
let sim = if !greedy then let open Sim.GreedySim(val st) in run_until_n m s
else let open Sim.LazySim(val st) in run_until_n m (d_of_dc s) in
let open Solver in
let HNode { init; csize; zsize; fder; fzer; cget; _ } = m in
let state = init () in
let init = cget state in
let ivp = { size=csize; fder=(fun _ -> fder state ()); init; stop=1.0 } in
let zc = { size=zsize; fzer=(fun _ -> fzer state ()); init } in
sim !stop !steps ((), (ivp, zc)) (Output.print !sample)

2
src/lib/common/errors.ml Normal file
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@ -0,0 +1,2 @@
exception TODO
exception Internal of string

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@ -1,3 +1,3 @@
(library
(name hsim)
(libraries common solvers))
(libraries common))

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@ -5,13 +5,14 @@ open State
module LazySim (S : SimState) =
struct
module S = S
(** "Lazy" simulation of a model with any solver. *)
let run
(HNode model : ('p, 'a, 'b, 'y, 'yder, 'zin, 'zout) hnode)
(DNode solver : ('y, 'yder, 'zin, 'zout) solver)
: ('p * (('y, 'yder) ivp * ('y, 'zout) zc), 'a, 'b) lazy_sim
= let state = S.get_init model.state solver.state in
(HNode model : ('ms, 'p, 'a, 'b, 'y, 'yder, 'zin, 'zout) hnode)
(DNode solver : ('ss, 'y, 'yder, 'zin, 'zout) solver)
: (('a, 'ms, 'ss) S.state, 'p * (('y, 'yder) ivp * ('y, 'zout) zc), 'a, 'b) lazy_sim
= let init (p, s) = S.get_init (model.init p) (solver.init s) in
let step s i =
let ms, ss = S.get_mstate s, S.get_sstate s in
@ -30,10 +31,10 @@ module LazySim (S : SimState) =
if h <= 0.0 then S.set_mstate ms s
else if now >= stop then S.set_idle s
else if model.jump ms then
let init = model.cget ms in
let init = model.cget ms and stop = stop -. now in
let fder t = model.fder ms (Utils.offset i now t) in
let fzer t = model.fzer ms (Utils.offset i now t) in
let ivp = { fder; stop = stop -. now; init } in
let ivp = { fder; stop; init; size = model.csize } in
let zc = { init ; fzer; size = model.zsize } in
let ss = solver.reset (ivp, zc) ss in
let i = { start=i.start +. now; length=i.length -. now;
@ -64,32 +65,29 @@ module LazySim (S : SimState) =
let ss = solver.reset ps (S.get_sstate s) in
S.update ms ss (S.set_idle s) in
DNode { state; step; reset }
DNode { init; step; reset }
(** Run the model on the given input until the end of the input or until the
model stops answering. *)
let run_on model solver input use =
let run_on model solver input p use =
let DNode sim = run model solver in
let state = match sim.step sim.state (Some input) with
| None, s -> s | _ -> assert false in
let rec loop (DNode s) =
let o, state = s.step s.state None in
match o with
| None -> ()
| Some o -> use o; loop (DNode { s with state }) in
loop (DNode { sim with state })
let state = sim.step (sim.init p) (Some input) in
let state = match state with None, s -> s | _ -> assert false in
let rec loop state =
let o, state = sim.step state None in
match o with None -> () | Some o -> use o; loop state in
loop state
(** Run the model on multiple inputs. *)
let run_on_n model solver inputs use =
ignore @@ List.fold_left (fun (DNode sim) i ->
let state = match sim.step sim.state (Some i) with
let run_on_n model solver inputs p use =
let DNode sim = run model solver in
ignore @@ List.fold_left (fun state i ->
let state = match sim.step state (Some i) with
| None, s -> s | _ -> assert false in
let rec loop (DNode s) =
let o, state = s.step s.state None in
match o with
| None -> DNode { s with state }
| Some o -> use o; loop (DNode { s with state }) in
loop (DNode { sim with state })) (run model solver) inputs
let rec loop state =
let o, state = sim.step state None in
match o with None -> state | Some o -> use o; loop state in
loop state) (sim.init p) inputs
(** Run the model autonomously until [length], or until the model stops
answering. *)
@ -108,12 +106,14 @@ module LazySim (S : SimState) =
module GreedySim (S : SimState) =
struct
module S = S
(** "Greedy" simulation of a model with an appropriate solver. *)
let run
(HNode model : ('p, 'a, 'b, 'y, 'yder, 'zin, 'zout) hnode)
(DNodeC solver : ('y, 'yder, 'zin, 'zout) solver_c)
: ('p * (('y, 'yder) ivp * ('y, 'zout) zc), 'a, 'b) greedy_sim
= let state = S.get_init model.state solver.state in
(HNode model : ('ms, 'p, 'a, 'b, 'y, 'yder, 'zin, 'zout) hnode)
(DNodeC solver : ('ss, 'y, 'yder, 'zin, 'zout) solver_c)
: (('a, 'ms, 'ss) S.state, 'p * (('y, 'yder) ivp * ('y, 'zout) zc), 'a, 'b) greedy_sim
= let init (m, s) = S.get_init (model.init m) (solver.init s) in
let rec step s i =
let ms, ss = S.get_mstate s, S.get_sstate s in
@ -132,7 +132,7 @@ module GreedySim (S : SimState) =
let init = model.cget ms in
let fder t = model.fder ms (Utils.offset i now t) in
let fzer t = model.fzer ms (Utils.offset i now t) in
let ivp = { fder; stop = stop -. now; init } in
let ivp = { fder; stop = stop -. now; init; size = model.csize } in
let zc = { init; fzer; size = model.zsize } in
let ss = solver.reset (ivp, zc) ss in
let i = { start=i.start +. now; length=i.length -. now;
@ -171,20 +171,21 @@ module GreedySim (S : SimState) =
let ss = solver.reset sp (S.get_sstate s) in
S.update ms ss (S.set_idle s) in
DNode { state; step; reset }
DNode { init; step; reset }
(** Run the model on the given input until the end of the input or until the
model stops answering. *)
let run_on model solver input use =
let run_on model solver input p use =
let DNode sim = run model solver in
let o, _ = sim.step sim.state input in
let o, _ = sim.step (sim.init p) input in
List.iter use o
(** Run the model on multiple inputs. *)
let run_on_n model solver inputs use =
let o, _ = List.fold_left (fun (acc, DNode sim) i ->
let o, state = sim.step sim.state i in
o::acc, DNode { sim with state }) ([], run model solver) inputs in
let run_on_n model solver inputs p use =
let DNode sim = run model solver in
let o, _ = List.fold_left (fun (acc, state) i ->
let o, state = sim.step state i in
o::acc, state) ([], sim.init p) inputs in
List.iter use (List.concat (List.rev o))
(** Run the model autonomously until [length], or until the model stops

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@ -5,7 +5,8 @@ open Types
type ('y, 'yder) ivp =
{ init : 'y; (** [y₀]: initial value of y. *)
fder : time -> 'y -> 'yder; (** [dy/dt]: derivative of y. *)
stop : time } (** Stop time. *)
stop : time; (** Stop time. *)
size : int }
(** A zero-crossing expression. *)
type ('y, 'zout) zc =
@ -17,72 +18,62 @@ type ('y, 'zout) zc =
- an initial value problem as parameter;
- an horizon to reach as input;
- an actual time reached and dense solution as output *)
type ('y, 'yder) csolver =
(('y, 'yder) ivp, time, time * (time -> 'y)) dnode
type ('s, 'y, 'yder) csolver =
('s, ('y, 'yder) ivp, time, time * (time -> 'y)) dnode
(** An ODE solver can optionally provide a state copy method, in which case
greedy simulation is possible. *)
type ('y, 'yder) csolver_c =
(('y, 'yder) ivp, time, time * (time -> 'y)) dnode_c
type ('s, 'y, 'yder) csolver_c =
('s, ('y, 'yder) ivp, time, time * (time -> 'y)) dnode_c
(** A zero-crossing solver is a synchronous function with:
- a zero-crossing expression as parameter;
- a time and dense solution as input;
- an actual time reached and optional zero-crossing as output *)
type ('y, 'zin, 'zout) zsolver =
(('y, 'zout) zc, time * (time -> 'y), time * 'zin option) dnode
type ('s, 'y, 'zin, 'zout) zsolver =
('s, ('y, 'zout) zc, time * (time -> 'y), time * 'zin option) dnode
(** A zero-crossing solver can optionally provide a state copy method, in which
case greedy simulation is possible. *)
type ('y, 'zin, 'zout) zsolver_c =
(('y, 'zout) zc, time * (time -> 'y), time * 'zin option) dnode_c
type ('s, 'y, 'zin, 'zout) zsolver_c =
('s, ('y, 'zout) zc, time * (time -> 'y), time * 'zin option) dnode_c
(** A solver is a synchronous function with:
- an initial value problem and zero-crossing expression as parameter;
- an horizon to reach as input;
- an actual time, dense solution and optional zero-crossing as output *)
type ('y, 'yder, 'zin, 'zout) solver =
(('y, 'yder) ivp * ('y, 'zout) zc,
type ('s, 'y, 'yder, 'zin, 'zout) solver =
('s,
('y, 'yder) ivp * ('y, 'zout) zc,
time,
time * (time -> 'y) * 'zin option) dnode
(** A solver can optionally provide a state copy method, in which case greedy
simulation is possible. *)
type ('y, 'yder, 'zin, 'zout) solver_c =
(('y, 'yder) ivp * ('y, 'zout) zc,
type ('s, 'y, 'yder, 'zin, 'zout) solver_c =
('s,
('y, 'yder) ivp * ('y, 'zout) zc,
time,
time * (time -> 'y) * 'zin option) dnode_c
let csolver_from_c (DNodeC csolver : ('y, 'yder) csolver_c)
: ('y, 'yder) csolver
= DNode { state = csolver.state; step = csolver.step; reset = csolver.reset }
let zsolver_from_c (DNodeC zsolver : ('y, 'zin, 'zout) zsolver_c)
: ('y, 'zin, 'zout) zsolver
= DNode { state = zsolver.state; step = zsolver.step; reset = zsolver.reset }
let solver_from_c (DNodeC solver : ('y, 'yder, 'zin, 'zout) solver_c)
: ('y, 'yder, 'zin, 'zout) solver
= DNode { state = solver.state; step = solver.step; reset = solver.reset }
(** Build a full solver from an ODE solver and a zero-crossing solver. *)
let solver (DNode csolver : ('y, 'yder) csolver)
(DNode zsolver : ('y, 'zin, 'zout) zsolver)
: ('y, 'yder, 'zin, 'zout) solver =
let state = csolver.state, zsolver.state in
let solver (DNode csolver : ('sc, 'y, 'yder) csolver)
(DNode zsolver : ('sz, 'y, 'zin, 'zout) zsolver)
: ('sc * 'sz, 'y, 'yder, 'zin, 'zout) solver =
let init (ivp, zc) = csolver.init ivp, zsolver.init zc in
let step (cstate, zstate) h =
let (h, f), cstate = csolver.step cstate h in
let (h, z), zstate = zsolver.step zstate (h, f) in
(h, f, z), (cstate, zstate) in
let reset (ivp, zc) (cstate, zstate) =
csolver.reset ivp cstate, zsolver.reset zc zstate in
DNode { state; step; reset }
DNode { init ; step; reset }
(** Build a full solver supporting state copies. *)
let solver_c (DNodeC csolver : ('y, 'yder) csolver_c)
(DNodeC zsolver : ('y, 'zin, 'zout) zsolver_c)
: ('y, 'yder, 'zin, 'zout) solver_c =
let state = csolver.state, zsolver.state in
let solver_c (DNodeC csolver : ('sc, 'y, 'yder) csolver_c)
(DNodeC zsolver : ('sz, 'y, 'zin, 'zout) zsolver_c)
: ('sc * 'sz, 'y, 'yder, 'zin, 'zout) solver_c =
let init (ivp, zc) = csolver.init ivp, zsolver.init zc in
let step (cstate, zstate) h =
let (h, f), cstate = csolver.step cstate h in
let (h, z), zstate = zsolver.step zstate (h, f) in
@ -91,5 +82,4 @@ let solver_c (DNodeC csolver : ('y, 'yder) csolver_c)
csolver.reset ivp cstate, zsolver.reset zc zstate in
let copy (cstate, zstate) =
csolver.copy cstate, zsolver.copy zstate in
DNodeC { state; step; reset; copy }
DNodeC { init; step; reset; copy }

View file

@ -1,34 +0,0 @@
open Types
open Solvers
open Solver
module Functional =
struct
type ('state, 'vec) state = { state: 'state; vec: 'vec }
let zsolve : (Zls.carray, Zls.zarray, Zls.carray) zsolver_c =
let state =
{ state = Illinois.initialize 0 (fun _ _ _ -> ()) (Zls.cmake 0);
vec = Zls.zmake 0 } in
let reset { fzer; init; size } { vec; _ } =
let fzer t cvec zout = let zout' = fzer t cvec in Zls.blit zout' zout in
{ state = Illinois.initialize size fzer init;
vec = if Zls.length vec = size then vec else Zls.zmake size } in
let step ({ state; vec } as s) (h, fder) =
let y1 = fder h in
let fder h _ = let y = fder h in Zls.blit y y1 in
Illinois.step state h y1;
let v = Illinois.has_roots state in
if v then
let h = Illinois.find state (fder, y1) vec in
(h, Some vec), s
else (h, None), s in
let copy s = s in
DNodeC { state; step; reset; copy }
end

View file

@ -14,21 +14,21 @@ type 'a value =
type 'a signal = 'a value option
(** A discrete node. *)
type ('p, 'a, 'b) dnode =
type ('s, 'p, 'a, 'b) dnode =
DNode :
{ state : 'ds;
step : 'ds -> 'a -> 'b * 'ds;
reset : 'p -> 'ds -> 'ds;
} -> ('p, 'a, 'b) dnode
{ init : 'p -> 's;
step : 's -> 'a -> 'b * 's;
reset : 'p -> 's -> 's;
} -> ('s, 'p, 'a, 'b) dnode
(** A discrete node which supports a state copy. *)
type ('p, 'a, 'b) dnode_c =
type ('s, 'p, 'a, 'b) dnode_c =
DNodeC :
{ state : 'ds;
step : 'ds -> 'a -> 'b * 'ds;
reset : 'p -> 'ds -> 'ds;
copy : 'ds -> 'ds;
} -> ('p, 'a, 'b) dnode_c
{ init : 'p -> 's;
step : 's -> 'a -> 'b * 's;
reset : 'p -> 's -> 's;
copy : 's -> 's;
} -> ('s, 'p, 'a, 'b) dnode_c
(** A continuous node. *)
type ('a, 'b, 'y, 'yder) cnode =
@ -39,33 +39,33 @@ type ('a, 'b, 'y, 'yder) cnode =
} -> ('a, 'b, 'y, 'yder) cnode
(** A hybrid node. *)
type ('p, 'a, 'b, 'y, 'yder, 'zin, 'zout) hnode =
type ('s, 'p, 'a, 'b, 'y, 'yder, 'zin, 'zout) hnode =
HNode :
{ state : 'hs;
step : 'hs -> 'a -> 'b * 'hs; (** Discrete step function. *)
fder : 'hs -> 'a -> 'y -> 'yder; (** Continuous derivative function. *)
fout : 'hs -> 'a -> 'y -> 'b; (** Continuous output function. *)
fzer : 'hs -> 'a -> 'y -> 'zout; (** Continuous zero-crossing function. *)
reset : 'p -> 'hs -> 'hs; (** Reset function. *)
horizon : 'hs -> time; (** Next integration horizon. *)
jump : 'hs -> bool; (** Discontinuity flag. *)
cget : 'hs -> 'y; (** Get continuous state. *)
cset : 'hs -> 'y -> 'hs; (** Set continuous state. *)
zset : 'hs -> 'zin -> 'hs; (** Set zero-crossing state. *)
{ init : 'p -> 's;
step : 's -> 'a -> 'b * 's; (** Discrete step function. *)
fder : 's -> 'a -> 'y -> 'yder; (** Continuous derivative function. *)
fout : 's -> 'a -> 'y -> 'b; (** Continuous output function. *)
fzer : 's -> 'a -> 'y -> 'zout; (** Continuous zero-crossing function. *)
reset : 'p -> 's -> 's; (** Reset function. *)
horizon : 's -> time; (** Next integration horizon. *)
jump : 's -> bool; (** Discontinuity flag. *)
cget : 's -> 'y; (** Get continuous state. *)
cset : 's -> 'y -> 's; (** Set continuous state. *)
zset : 's -> 'zin -> 's; (** Set zero-crossing state. *)
csize : int;
zsize : int;
} -> ('p, 'a, 'b, 'y, 'yder, 'zin, 'zout) hnode
} -> ('s, 'p, 'a, 'b, 'y, 'yder, 'zin, 'zout) hnode
(** The simulation of a hybrid system is a synchronous function on streams of
functions. *)
type ('p, 'a, 'b) lazy_sim =
('p, 'a signal, 'b signal) dnode
type ('s, 'p, 'a, 'b) lazy_sim =
('s, 'p, 'a signal, 'b signal) dnode
(** Greedy simulation takes in an input and computes as many solver and
subsystem steps as needed to reach the input's horizon. *)
type ('p, 'a, 'b) greedy_sim =
('p, 'a value, 'b value list) dnode
type ('s, 'p, 'a, 'b) greedy_sim =
('s, 'p, 'a value, 'b value list) dnode
(** Utils *)
let d_of_dc (DNodeC { state; step; reset; _ }) =
DNode { state; step; reset }
let d_of_dc (DNodeC { init; step; reset; _ }) = DNode { init; step; reset }

View file

@ -0,0 +1,28 @@
open Hsim.Types
open Hsim.Solver
open Zls
module type Csolver =
sig
type ('a, 'b) state
type session
type vec
val csolve : ((session, vec) state, carray, carray) csolver
end
module type CsolverC =
sig
type ('a, 'b) state
type session
type vec
val csolve : ((session, vec) state, carray, carray) csolver_c
end
module CsolverOfC =
functor (S : CsolverC) -> (struct
type ('a, 'b) state = ('a, 'b) S.state
type session = S.session
type vec = S.vec
let csolve = d_of_dc S.csolve
end : Csolver)

View file

@ -1,4 +1,8 @@
(env (dev (flags (:standard -w -9-27-32))))
(env (dev (flags (:standard -w -32))))
(library
(name solvers))
(name solvers)
(libraries
hsim
;sundialsml
))

View file

@ -27,7 +27,7 @@ let get_check_root rdir =
let check_down x0 x1 = if x0 > 0.0 && x1 <= 0.0 then -1l else 0l in
let check_either x0 x1 = if x0 < 0.0 && x1 >= 0.0 then 1l else
if x0 > 0.0 && x1 <= 0.0 then -1l else 0l in
let no_check x0 x1 = 0l in
let no_check _x0 _x1 = 0l in
match rdir with
| Up -> check_up
@ -118,7 +118,7 @@ type t = {
}
(* Called from find when bothf_valid = false to initialise f1. *)
let reinitialize ({ g; f1 = f1; t1 = t1 } as s) t c =
let reinitialize ({ g; f1 = f1; t1 = t1; _ } as s) t c =
s.t1 <- t;
g t1 c f1; (* fill f1, because it is immediately copied into f0 by next_mesh *)
if !debug then (printf "z|---------- init(%.24e, ... ----------@." t;
@ -148,10 +148,10 @@ let initialize nroots g c =
s
let num_roots { f0 } = Zls.length f0
let num_roots { f0; _ } = Zls.length f0
(* f0/t0 take the previous values of f1/t1, f1/t1 are refreshed by g *)
let step ({ g; f0 = f0; f1 = f1; t1 = t1 } as s) t c =
let step ({ g; f0 = f0; f1 = f1; t1 = t1; _ } as s) t c =
(* swap f0 and f1; f0 takes the previous value of f1 *)
s.f0 <- f1;
s.t0 <- t1;
@ -184,7 +184,7 @@ let resolve_intervals r1 r2 =
(possible) zero-crossing in (f_mid, f_right]
*)
let check_interval calc_zc f_left f_mid =
let check i r x0 x1 =
let check _i r x0 x1 =
let rv = calc_zc x0 x1 in
let r' = if rv = 0l then SearchRight
else if x1 = 0.0 then FoundMid
@ -340,17 +340,17 @@ let find s (dky, c) roots = find s (dky, c) roots
(* is there a root? [has_root s: bool] is true is there is a change in sign *)
(* for one component [i in [0..length f0 - 1]] beetwen [f0.(i)] and [f1.(i)] *)
let has_roots { bothf_valid = bothf_valid; t0; f0; t1; f1; calc_zc = calc_zc }
= bothf_valid && (check_interval calc_zc f0 f1 <> SearchRight)
let has_roots { bothf_valid; f0; f1; calc_zc; _ } =
bothf_valid && (check_interval calc_zc f0 f1 <> SearchRight)
let takeoff { bothf_valid = bothf_valid; f0; f1 } =
let takeoff { bothf_valid; f0; f1; _ } =
bothf_valid && (takeoff f0 f1)
(* returns true if a signal has moved from zero to a stritly positive value *)
(* Added by MP. Ask Tim if this code is necessary, that is, what happens *)
(* with function [find] when the signal is taking off from [0.0] to a *)
(* strictly positive value *)
let find_takeoff ({ f0; f1 } as s) roots =
let find_takeoff ({ f0; f1; _ } as s) roots =
let calc_zc x0 x1 =
if (x0 = 0.0) && (x1 > 0.0) then 1l else 0l in
let b = update_roots calc_zc f0 f1 roots in

View file

@ -156,7 +156,7 @@ struct (* {{{1 *)
(* NB: y must be the initial state vector (y_0)
* k(0) must be the initial deriviatives vector (dy_0) *)
let initial_stepsize { initial_step_size; abs_tol; rel_tol; max_step;
time; y; hmax; k } =
time; y; hmax; k; _ } =
let hmin = 16.0 *. epsilon_float *. abs_float time in
match initial_step_size with
| Some h -> minmax hmin max_step h
@ -168,7 +168,8 @@ struct (* {{{1 *)
in
max hmin (if hmax *. rh > 1.0 then 1.0 /. rh else hmax)
let reinitialize ?rhsfn ({ stop_time; min_step; max_step; sysf } as s) t ny =
let reinitialize
?rhsfn ({ stop_time; min_step; max_step; sysf; _ } as s) t ny =
Bigarray.Array1.blit ny s.y;
s.time <- t;
s.last_time <- t;
@ -250,9 +251,9 @@ struct (* {{{1 *)
(* TODO: add stats: nfevals, nfailed, nsteps *)
let step s t_limit user_y =
let { stop_time; min_step; abs_tol; rel_tol;
let { stop_time; abs_tol; rel_tol;
sysf = f; time = t; h = h; hmax = hmax;
k = k; y = y; yold = ynew; } = s in
k = k; y = y; yold = ynew; _ } = s in
(* First Same As Last (FSAL) swap; doing it after the previous
step invalidates the interpolation routine. *)
@ -323,7 +324,7 @@ struct (* {{{1 *)
s.h <- nexth;
s.time
let get_dky { last_time = t; time = t'; h = h; yold = y; k = k } yi ti kd =
let get_dky { last_time = t; time = t'; yold = y; k; _ } yi ti kd =
if kd > 0 then
failwith
@ -355,11 +356,11 @@ struct (* {{{1 *)
done
(* copy functions *)
let copy ({ last_time; time; h; yold; k } as s) =
let copy ({ last_time; time; h; yold; k; _ } as s) =
{ s with last_time; time; h; yold = Zls.copy yold; k = Zls.copy_matrix k }
let blit { last_time = l1; time = t1; h = h1; yold = yhold1; k = k1 }
({ last_time; time; h; yold; k } as s2) =
let blit { last_time = l1; time = t1; yold = yhold1; k = k1; _ }
({ yold; k; _ } as s2) =
s2.last_time <- l1; s2.time <- t1;
Zls.blit yhold1 yold; Zls.blit_matrix k1 k

View file

@ -1,25 +1,24 @@
open Types
open Solvers
open Solver
open Hsim.Types
open Hsim.Solver
open Zls
module Functional =
module Functional : Csolver.CsolverC =
struct
type ('state, 'vec) state = { state: 'state; vec: 'vec }
type session = Odexx.Ode45.t
type vec = carray
let csolve : (Zls.carray, Zls.carray) csolver_c =
let csolve : ((session, vec) state, carray, carray) csolver_c =
let open Odexx.Ode45 in
let state =
let init _ =
let v = Zls.cmake 0 in
let state = initialize (fun _ _ _ -> ()) (vec v) in
set_stop_time state 1.0; { state; vec=v } in
let reset
({ fder; init; stop }: (Zls.carray, Zls.carray) ivp)
(_: (t, Zls.carray) state)
: (t, Zls.carray) state
= let fder t cvec dvec = Zls.blit (fder t cvec) dvec in
let reset { fder; init; stop; _ } _ =
let fder t cvec dvec = Zls.blit (fder t cvec) dvec in
let state = initialize fder (vec init) in
set_stop_time state stop;
{ state; vec = init } in
@ -33,25 +32,25 @@ module Functional =
let copy { state; vec } = { state; vec } in
DNodeC { state; step; reset; copy }
DNodeC { init; step; reset; copy }
end
module InPlace =
module InPlace : Csolver.CsolverC =
struct
type ('state, 'vec) state = { mutable state: 'state; mutable vec : 'vec }
type session = Odexx.Ode45.t
type vec = carray
type ('state, 'vec) state =
{ mutable state: 'state; mutable vec : 'vec }
let csolve : (Zls.carray, Zls.carray) csolver_c =
let csolve : ((session, vec) state, carray, carray) csolver_c =
let open Odexx.Ode45 in
let state =
let init _ =
let v = Zls.cmake 0 in
let state = initialize (fun _ _ _ -> ()) (vec v) in
set_stop_time state 1.0;
{ state; vec=v } in
let reset { fder: time -> Zls.carray -> Zls.carray; init; stop } s =
let reset { fder; init; stop; _ } s =
let fder t cvec dvec =
let dvec' = fder t cvec in Zls.blit dvec' dvec in
let state = initialize fder (vec init) in
@ -66,5 +65,5 @@ module InPlace =
let copy { state; vec } =
{ state = copy state; vec = Zls.copy vec } in
DNodeC { state; reset; step; copy }
DNodeC { init; reset; step; copy }
end

View file

@ -0,0 +1,71 @@
(*
open Hsim.Types
open Hsim.Solver
open Zls
module Functional : Csolver.Csolver =
struct
type ('state, 'vec) state = { state : 'state; vec : 'vec }
type session = (Sundials_RealArray.t, Nvector_serial.kind) Cvode.session
type vec = carray
let csolve : ((session, vec) state, carray, carray) csolver =
let open Cvode in
let init { size; fder=_; _ } =
let vec = cmake size in
let state = init Adams default_tolerances (fun _ _ _ -> ()) 0.
(Nvector_serial.wrap vec) in
set_stop_time state 1.0;
{ state; vec } in
let reset { init=i; fder; stop; _ } { vec; _ } =
let fder t cvec dvec =
let dvec' = fder t cvec in blit dvec' dvec in
let state =
Cvode.init Adams default_tolerances fder 0. (Nvector_serial.wrap i) in
set_stop_time state stop;
{ state; vec } in
let step ({ state; vec } as s) h =
let y = Nvector_serial.wrap vec in
let h, _ = solve_one_step state h y in
let f t = get_dky state y t 0; Nvector_serial.unwrap y in
(h, f), s in
DNode { init; reset; step }
end
module InPlace : Csolver.Csolver =
struct
type ('state, 'vec) state = { mutable state: 'state; mutable vec : 'vec }
type session = (Sundials_RealArray.t, Nvector_serial.kind) Cvode.session
type vec = carray
let csolve : ((session, vec) state, carray, carray) csolver =
let open Cvode in
let init { size; fder=_; _ } =
let vec = cmake size in
let state = init Adams default_tolerances (fun _ _ _ -> ()) 0.
(Nvector_serial.wrap vec) in
set_stop_time state 1.0;
{ state; vec } in
let reset { init=i; fder; _ } s =
let fder t cvec dvec =
let dvec' = fder t cvec in blit dvec' dvec in
let state =
Cvode.init Adams default_tolerances fder 0. (Nvector_serial.wrap i) in
set_stop_time state 1.0; s.state <- state; s.vec <- i; s in
let step s h =
let y = Nvector_serial.wrap s.vec in
let h, _ = solve_one_step s.state h y in
let f t = get_dky s.state y t 0; Nvector_serial.unwrap y in
(h, f), s in
DNode { init; reset; step }
end
*)

View file

@ -0,0 +1,69 @@
open Hsim.Types
open Hsim.Solver
open Zls
module Functional : Zsolver.ZsolverC =
struct
type ('state, 'vec) state = { state: 'state; vec: 'vec }
type session = Illinois.t
type vec = zarray
let zsolve : ((session, vec) state, carray, vec, carray) zsolver_c =
let open Illinois in
let init _ =
{ state = initialize 0 (fun _ _ _ -> ()) (cmake 0);
vec = zmake 0 } in
let reset { fzer; init; size } { vec; _ } =
let fzer t cvec zout = let zout' = fzer t cvec in blit zout' zout in
{ state = initialize size fzer init;
vec = if length vec = size then vec else zmake size } in
let step ({ state; vec } as s) (h, fder) =
let y1 = fder h in
let fder h _ = let y = fder h in blit y y1 in
step state h y1;
if has_roots state then
let h = find state (fder, y1) vec in
(h, Some vec), s
else (h, None), s in
let copy s = s in
DNodeC { init; step; reset; copy }
end
module InPlace : Zsolver.ZsolverC =
struct
type ('state, 'vec) state = { mutable state : 'state; mutable vec : 'vec }
type session = Illinois.t
type vec = zarray
let zsolve : ((session, vec) state, carray, vec, carray) zsolver_c =
let open Illinois in
let init _ =
{ state=initialize 0 (fun _ _ _ -> ()) (cmake 0);
vec=zmake 0 } in
let reset { size; init; fzer } s =
let fzer t cvec zout = let zout' = fzer t cvec in blit zout' zout in
s.state <- initialize size fzer init;
if length s.vec <> size then s.vec <- zmake size; s in
let step ({ state; vec } as s) (h, fder) =
let y = fder h in
let fder h _ = let y' = fder h in blit y' y in
step state h y;
if has_roots state then
let h = find state (fder, y) vec in
(h, Some vec), s
else (h, None), s in
let copy _ = raise Common.Errors.TODO in
DNodeC { init; step; reset; copy }
end

View file

@ -0,0 +1,28 @@
open Hsim.Types
open Hsim.Solver
open Zls
module type Zsolver =
sig
type ('a, 'b) state
type session
type vec
val zsolve : ((session, vec) state, carray, zarray, carray) zsolver
end
module type ZsolverC =
sig
type ('a, 'b) state
type session
type vec
val zsolve : ((session, vec) state, carray, zarray, carray) zsolver_c
end
module ZsolverOfC =
functor (S : ZsolverC) -> (struct
type ('a, 'b) state = ('a, 'b) S.state
type session = S.session
type vec = S.vec
let zsolve = d_of_dc S.zsolve
end : Zsolver)