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|
(************************************************************************)
(* v * The Coq Proof Assistant / The Coq Development Team *)
(* <O___,, * INRIA - CNRS - LIX - LRI - PPS - Copyright 1999-2010 *)
(* \VV/ **************************************************************)
(* // * This file is distributed under the terms of the *)
(* * GNU Lesser General Public License Version 2.1 *)
(************************************************************************)
(* *)
(* Micromega: A reflexive tactic using the Positivstellensatz *)
(* *)
(* Frédéric Besson (Irisa/Inria) 2006-2008 *)
(* *)
(************************************************************************)
(* We take as input a list of polynomials [p1...pn] and return an unfeasibility
certificate polynomial. *)
(*open Micromega.Polynomial*)
open Big_int
open Num
open Sos_lib
module Mc = Micromega
module Ml2C = Mutils.CamlToCoq
module C2Ml = Mutils.CoqToCaml
let (<+>) = add_num
let (<->) = minus_num
let (<*>) = mult_num
type var = Mc.positive
module Monomial :
sig
type t
val const : t
val var : var -> t
val find : var -> t -> int
val mult : var -> t -> t
val prod : t -> t -> t
val compare : t -> t -> int
val pp : out_channel -> t -> unit
val fold : (var -> int -> 'a -> 'a) -> t -> 'a -> 'a
end
=
struct
(* A monomial is represented by a multiset of variables *)
module Map = Map.Make(struct type t = var let compare = Pervasives.compare end)
open Map
type t = int Map.t
(* The monomial that corresponds to a constant *)
let const = Map.empty
(* The monomial 'x' *)
let var x = Map.add x 1 Map.empty
(* Get the degre of a variable in a monomial *)
let find x m = try find x m with Not_found -> 0
(* Multiply a monomial by a variable *)
let mult x m = add x ( (find x m) + 1) m
(* Product of monomials *)
let prod m1 m2 = Map.fold (fun k d m -> add k ((find k m) + d) m) m1 m2
(* Total ordering of monomials *)
let compare m1 m2 = Map.compare Pervasives.compare m1 m2
let pp o m = Map.iter (fun k v ->
if v = 1 then Printf.fprintf o "x%i." (C2Ml.index k)
else Printf.fprintf o "x%i^%i." (C2Ml.index k) v) m
let fold = fold
end
module Poly :
(* A polynomial is a map of monomials *)
(*
This is probably a naive implementation
(expected to be fast enough - Coq is probably the bottleneck)
*The new ring contribution is using a sparse Horner representation.
*)
sig
type t
val get : Monomial.t -> t -> num
val variable : var -> t
val add : Monomial.t -> num -> t -> t
val constant : num -> t
val mult : Monomial.t -> num -> t -> t
val product : t -> t -> t
val addition : t -> t -> t
val uminus : t -> t
val fold : (Monomial.t -> num -> 'a -> 'a) -> t -> 'a -> 'a
val pp : out_channel -> t -> unit
val compare : t -> t -> int
val is_null : t -> bool
end =
struct
(*normalisation bug : 0*x ... *)
module P = Map.Make(Monomial)
open P
type t = num P.t
let pp o p = P.iter (fun k v ->
if compare_num v (Int 0) <> 0
then
if Monomial.compare Monomial.const k = 0
then Printf.fprintf o "%s " (string_of_num v)
else Printf.fprintf o "%s*%a " (string_of_num v) Monomial.pp k) p
(* Get the coefficient of monomial mn *)
let get : Monomial.t -> t -> num =
fun mn p -> try find mn p with Not_found -> (Int 0)
(* The polynomial 1.x *)
let variable : var -> t =
fun x -> add (Monomial.var x) (Int 1) empty
(*The constant polynomial *)
let constant : num -> t =
fun c -> add (Monomial.const) c empty
(* The addition of a monomial *)
let add : Monomial.t -> num -> t -> t =
fun mn v p ->
let vl = (get mn p) <+> v in
add mn vl p
(** Design choice: empty is not a polynomial
I do not remember why ....
**)
(* The product by a monomial *)
let mult : Monomial.t -> num -> t -> t =
fun mn v p ->
fold (fun mn' v' res -> P.add (Monomial.prod mn mn') (v<*>v') res) p empty
let addition : t -> t -> t =
fun p1 p2 -> fold (fun mn v p -> add mn v p) p1 p2
let product : t -> t -> t =
fun p1 p2 ->
fold (fun mn v res -> addition (mult mn v p2) res ) p1 empty
let uminus : t -> t =
fun p -> map (fun v -> minus_num v) p
let fold = P.fold
let is_null p = fold (fun mn vl b -> b & sign_num vl = 0) p true
let compare = compare compare_num
end
open Mutils
type 'a number_spec = {
bigint_to_number : big_int -> 'a;
number_to_num : 'a -> num;
zero : 'a;
unit : 'a;
mult : 'a -> 'a -> 'a;
eqb : 'a -> 'a -> bool
}
let z_spec = {
bigint_to_number = Ml2C.bigint ;
number_to_num = (fun x -> Big_int (C2Ml.z_big_int x));
zero = Mc.Z0;
unit = Mc.Zpos Mc.XH;
mult = Mc.zmult;
eqb = Mc.zeq_bool
}
let q_spec = {
bigint_to_number = (fun x -> {Mc.qnum = Ml2C.bigint x; Mc.qden = Mc.XH});
number_to_num = C2Ml.q_to_num;
zero = {Mc.qnum = Mc.Z0;Mc.qden = Mc.XH};
unit = {Mc.qnum = (Mc.Zpos Mc.XH) ; Mc.qden = Mc.XH};
mult = Mc.qmult;
eqb = Mc.qeq_bool
}
let r_spec = z_spec
let dev_form n_spec p =
let rec dev_form p =
match p with
| Mc.PEc z -> Poly.constant (n_spec.number_to_num z)
| Mc.PEX v -> Poly.variable v
| Mc.PEmul(p1,p2) ->
let p1 = dev_form p1 in
let p2 = dev_form p2 in
Poly.product p1 p2
| Mc.PEadd(p1,p2) -> Poly.addition (dev_form p1) (dev_form p2)
| Mc.PEopp p -> Poly.uminus (dev_form p)
| Mc.PEsub(p1,p2) -> Poly.addition (dev_form p1) (Poly.uminus (dev_form p2))
| Mc.PEpow(p,n) ->
let p = dev_form p in
let n = C2Ml.n n in
let rec pow n =
if n = 0
then Poly.constant (n_spec.number_to_num n_spec.unit)
else Poly.product p (pow (n-1)) in
pow n in
dev_form p
let monomial_to_polynomial mn =
Monomial.fold
(fun v i acc ->
let mn = if i = 1 then Mc.PEX v else Mc.PEpow (Mc.PEX v ,Ml2C.n i) in
if acc = Mc.PEc (Mc.Zpos Mc.XH)
then mn
else Mc.PEmul(mn,acc))
mn
(Mc.PEc (Mc.Zpos Mc.XH))
let list_to_polynomial vars l =
assert (List.for_all (fun x -> ceiling_num x =/ x) l);
let var x = monomial_to_polynomial (List.nth vars x) in
let rec xtopoly p i = function
| [] -> p
| c::l -> if c =/ (Int 0) then xtopoly p (i+1) l
else let c = Mc.PEc (Ml2C.bigint (numerator c)) in
let mn =
if c = Mc.PEc (Mc.Zpos Mc.XH)
then var i
else Mc.PEmul (c,var i) in
let p' = if p = Mc.PEc Mc.Z0 then mn else
Mc.PEadd (mn, p) in
xtopoly p' (i+1) l in
xtopoly (Mc.PEc Mc.Z0) 0 l
let rec fixpoint f x =
let y' = f x in
if y' = x then y'
else fixpoint f y'
let rec_simpl_cone n_spec e =
let simpl_cone =
Mc.simpl_cone n_spec.zero n_spec.unit n_spec.mult n_spec.eqb in
let rec rec_simpl_cone = function
| Mc.PsatzMulE(t1, t2) ->
simpl_cone (Mc.PsatzMulE (rec_simpl_cone t1, rec_simpl_cone t2))
| Mc.PsatzAdd(t1,t2) ->
simpl_cone (Mc.PsatzAdd (rec_simpl_cone t1, rec_simpl_cone t2))
| x -> simpl_cone x in
rec_simpl_cone e
let simplify_cone n_spec c = fixpoint (rec_simpl_cone n_spec) c
type cone_prod =
Const of cone
| Ideal of cone *cone
| Mult of cone * cone
| Other of cone
and cone = Mc.zWitness
let factorise_linear_cone c =
let rec cone_list c l =
match c with
| Mc.PsatzAdd (x,r) -> cone_list r (x::l)
| _ -> c :: l in
let factorise c1 c2 =
match c1 , c2 with
| Mc.PsatzMulC(x,y) , Mc.PsatzMulC(x',y') ->
if x = x' then Some (Mc.PsatzMulC(x, Mc.PsatzAdd(y,y'))) else None
| Mc.PsatzMulE(x,y) , Mc.PsatzMulE(x',y') ->
if x = x' then Some (Mc.PsatzMulE(x, Mc.PsatzAdd(y,y'))) else None
| _ -> None in
let rec rebuild_cone l pending =
match l with
| [] -> (match pending with
| None -> Mc.PsatzZ
| Some p -> p
)
| e::l ->
(match pending with
| None -> rebuild_cone l (Some e)
| Some p -> (match factorise p e with
| None -> Mc.PsatzAdd(p, rebuild_cone l (Some e))
| Some f -> rebuild_cone l (Some f) )
) in
(rebuild_cone (List.sort Pervasives.compare (cone_list c [])) None)
(* The binding with Fourier might be a bit obsolete
-- how does it handle equalities ? *)
(* Certificates are elements of the cone such that P = 0 *)
(* To begin with, we search for certificates of the form:
a1.p1 + ... an.pn + b1.q1 +... + bn.qn + c = 0
where pi >= 0 qi > 0
ai >= 0
bi >= 0
Sum bi + c >= 1
This is a linear problem: each monomial is considered as a variable.
Hence, we can use fourier.
The variable c is at index 0
*)
open Mfourier
(*module Fourier = Fourier(Vector.VList)(SysSet(Vector.VList))*)
(*module Fourier = Fourier(Vector.VSparse)(SysSetAlt(Vector.VSparse))*)
(*module Fourier = Mfourier.Fourier(Vector.VSparse)(*(SysSetAlt(Vector.VMap))*)*)
(*module Vect = Fourier.Vect*)
(*open Fourier.Cstr*)
(* fold_left followed by a rev ! *)
let constrain_monomial mn l =
let coeffs = List.fold_left (fun acc p -> (Poly.get mn p)::acc) [] l in
if mn = Monomial.const
then
{ coeffs = Vect.from_list ((Big_int unit_big_int):: (List.rev coeffs)) ;
op = Eq ;
cst = Big_int zero_big_int }
else
{ coeffs = Vect.from_list ((Big_int zero_big_int):: (List.rev coeffs)) ;
op = Eq ;
cst = Big_int zero_big_int }
let positivity l =
let rec xpositivity i l =
match l with
| [] -> []
| (_,Mc.Equal)::l -> xpositivity (i+1) l
| (_,_)::l ->
{coeffs = Vect.update (i+1) (fun _ -> Int 1) Vect.null ;
op = Ge ;
cst = Int 0 } :: (xpositivity (i+1) l)
in
xpositivity 0 l
let string_of_op = function
| Mc.Strict -> "> 0"
| Mc.NonStrict -> ">= 0"
| Mc.Equal -> "= 0"
| Mc.NonEqual -> "<> 0"
(* If the certificate includes at least one strict inequality,
the obtained polynomial can also be 0 *)
let build_linear_system l =
(* Gather the monomials: HINT add up of the polynomials *)
let l' = List.map fst l in
let monomials =
List.fold_left (fun acc p -> Poly.addition p acc) (Poly.constant (Int 0)) l'
in (* For each monomial, compute a constraint *)
let s0 =
Poly.fold (fun mn _ res -> (constrain_monomial mn l')::res) monomials [] in
(* I need at least something strictly positive *)
let strict = {
coeffs = Vect.from_list ((Big_int unit_big_int)::
(List.map (fun (x,y) ->
match y with Mc.Strict ->
Big_int unit_big_int
| _ -> Big_int zero_big_int) l));
op = Ge ; cst = Big_int unit_big_int } in
(* Add the positivity constraint *)
{coeffs = Vect.from_list ([Big_int unit_big_int]) ;
op = Ge ;
cst = Big_int zero_big_int}::(strict::(positivity l)@s0)
let big_int_to_z = Ml2C.bigint
(* For Q, this is a pity that the certificate has been scaled
-- at a lower layer, certificates are using nums... *)
let make_certificate n_spec (cert,li) =
let bint_to_cst = n_spec.bigint_to_number in
match cert with
| [] -> failwith "empty_certificate"
| e::cert' ->
let cst = match compare_big_int e zero_big_int with
| 0 -> Mc.PsatzZ
| 1 -> Mc.PsatzC (bint_to_cst e)
| _ -> failwith "positivity error"
in
let rec scalar_product cert l =
match cert with
| [] -> Mc.PsatzZ
| c::cert -> match l with
| [] -> failwith "make_certificate(1)"
| i::l ->
let r = scalar_product cert l in
match compare_big_int c zero_big_int with
| -1 -> Mc.PsatzAdd (
Mc.PsatzMulC (Mc.Pc ( bint_to_cst c), Mc.PsatzIn (Ml2C.nat i)),
r)
| 0 -> r
| _ -> Mc.PsatzAdd (
Mc.PsatzMulE (Mc.PsatzC (bint_to_cst c), Mc.PsatzIn (Ml2C.nat i)),
r) in
((factorise_linear_cone
(simplify_cone n_spec (Mc.PsatzAdd (cst, scalar_product cert' li)))))
exception Found of Monomial.t
exception Strict
let primal l =
let vr = ref 0 in
let module Mmn = Map.Make(Monomial) in
let vect_of_poly map p =
Poly.fold (fun mn vl (map,vect) ->
if mn = Monomial.const
then (map,vect)
else
let (mn,m) = try (Mmn.find mn map,map) with Not_found -> let res = (!vr, Mmn.add mn !vr map) in incr vr ; res in
(m,if sign_num vl = 0 then vect else (mn,vl)::vect)) p (map,[]) in
let op_op = function Mc.NonStrict -> Ge |Mc.Equal -> Eq | _ -> raise Strict in
let cmp x y = Pervasives.compare (fst x) (fst y) in
snd (List.fold_right (fun (p,op) (map,l) ->
let (mp,vect) = vect_of_poly map p in
let cstr = {coeffs = List.sort cmp vect; op = op_op op ; cst = minus_num (Poly.get Monomial.const p)} in
(mp,cstr::l)) l (Mmn.empty,[]))
let dual_raw_certificate (l: (Poly.t * Mc.op1) list) =
(* List.iter (fun (p,op) -> Printf.fprintf stdout "%a %s 0\n" Poly.pp p (string_of_op op) ) l ; *)
let sys = build_linear_system l in
try
match Fourier.find_point sys with
| Inr _ -> None
| Inl cert -> Some (rats_to_ints (Vect.to_list cert))
(* should not use rats_to_ints *)
with x ->
if debug
then (Printf.printf "raw certificate %s" (Printexc.to_string x);
flush stdout) ;
None
let raw_certificate l =
try
let p = primal l in
match Fourier.find_point p with
| Inr prf ->
if debug then Printf.printf "AProof : %a\n" pp_proof prf ;
let cert = List.map (fun (x,n) -> x+1,n) (fst (List.hd (Mfourier.Proof.mk_proof p prf))) in
if debug then Printf.printf "CProof : %a" Vect.pp_vect cert ;
Some (rats_to_ints (Vect.to_list cert))
| Inl _ -> None
with Strict ->
(* Fourier elimination should handle > *)
dual_raw_certificate l
let simple_linear_prover (*to_constant*) l =
let (lc,li) = List.split l in
match raw_certificate lc with
| None -> None (* No certificate *)
| Some cert -> (* make_certificate to_constant*)Some (cert,li)
let linear_prover n_spec l =
let li = List.combine l (interval 0 (List.length l -1)) in
let (l1,l') = List.partition
(fun (x,_) -> if snd x = Mc.NonEqual then true else false) li in
let l' = List.map
(fun ((x,y),i) -> match y with
Mc.NonEqual -> failwith "cannot happen"
| y -> ((dev_form n_spec x, y),i)) l' in
simple_linear_prover (*n_spec*) l'
let linear_prover n_spec l =
try linear_prover n_spec l with
x -> (print_string (Printexc.to_string x); None)
let linear_prover_with_cert spec l =
match linear_prover spec l with
| None -> None
| Some cert -> Some (make_certificate spec cert)
(* zprover.... *)
(* I need to gather the set of variables --->
Then go for fold
Once I have an interval, I need a certificate : 2 other fourier elims.
(I could probably get the certificate directly
as it is done in the fourier contrib.)
*)
let make_linear_system l =
let l' = List.map fst l in
let monomials = List.fold_left (fun acc p -> Poly.addition p acc)
(Poly.constant (Int 0)) l' in
let monomials = Poly.fold
(fun mn _ l -> if mn = Monomial.const then l else mn::l) monomials [] in
(List.map (fun (c,op) ->
{coeffs = Vect.from_list (List.map (fun mn -> (Poly.get mn c)) monomials) ;
op = op ;
cst = minus_num ( (Poly.get Monomial.const c))}) l
,monomials)
let pplus x y = Mc.PEadd(x,y)
let pmult x y = Mc.PEmul(x,y)
let pconst x = Mc.PEc x
let popp x = Mc.PEopp x
let debug = false
(* keep track of enumerated vectors *)
let rec mem p x l =
match l with [] -> false | e::l -> if p x e then true else mem p x l
let rec remove_assoc p x l =
match l with [] -> [] | e::l -> if p x (fst e) then
remove_assoc p x l else e::(remove_assoc p x l)
let eq x y = Vect.compare x y = 0
let remove e l = List.fold_left (fun l x -> if eq x e then l else x::l) [] l
(* The prover is (probably) incomplete --
only searching for naive cutting planes *)
let candidates sys =
let ll = List.fold_right (
fun (e,k) r ->
match k with
| Mc.NonStrict -> (dev_form z_spec e , Ge)::r
| Mc.Equal -> (dev_form z_spec e , Eq)::r
(* we already know the bound -- don't compute it again *)
| _ -> failwith "Cannot happen candidates") sys [] in
let (sys,var_mn) = make_linear_system ll in
let vars = mapi (fun _ i -> Vect.set i (Int 1) Vect.null) var_mn in
(List.fold_left (fun l cstr ->
let gcd = Big_int (Vect.gcd cstr.coeffs) in
if gcd =/ (Int 1) && cstr.op = Eq
then l
else (Vect.mul (Int 1 // gcd) cstr.coeffs)::l) [] sys) @ vars
let rec xzlinear_prover planes sys =
match linear_prover z_spec sys with
| Some prf -> Some (Mc.RatProof (make_certificate z_spec prf,Mc.DoneProof))
| None -> (* find the candidate with the smallest range *)
(* Grrr - linear_prover is also calling 'make_linear_system' *)
let ll = List.fold_right (fun (e,k) r -> match k with
Mc.NonEqual -> r
| k -> (dev_form z_spec e ,
match k with
Mc.NonStrict -> Ge
| Mc.Equal -> Eq
| Mc.Strict | Mc.NonEqual -> failwith "Cannot happen") :: r) sys [] in
let (ll,var) = make_linear_system ll in
let candidates = List.fold_left (fun acc vect ->
match Fourier.optimise vect ll with
| None -> acc
| Some i ->
(* Printf.printf "%s in %s\n" (Vect.string vect) (string_of_intrvl i) ; *)
flush stdout ;
(vect,i) ::acc) [] planes in
let smallest_interval =
match List.fold_left (fun (x1,i1) (x2,i2) ->
if Itv.smaller_itv i1 i2
then (x1,i1) else (x2,i2)) (Vect.null,(None,None)) candidates
with
| (x,(Some i, Some j)) -> Some(i,x,j)
| x -> None (* This might be a cutting plane *)
in
match smallest_interval with
| Some (lb,e,ub) ->
let (lbn,lbd) =
(Ml2C.bigint (sub_big_int (numerator lb) unit_big_int),
Ml2C.bigint (denominator lb)) in
let (ubn,ubd) =
(Ml2C.bigint (add_big_int unit_big_int (numerator ub)) ,
Ml2C.bigint (denominator ub)) in
let expr = list_to_polynomial var (Vect.to_list e) in
(match
(*x <= ub -> x > ub *)
linear_prover z_spec
((pplus (pmult (pconst ubd) expr) (popp (pconst ubn)),
Mc.NonStrict) :: sys),
(* lb <= x -> lb > x *)
linear_prover z_spec
((pplus (popp (pmult (pconst lbd) expr)) (pconst lbn),
Mc.NonStrict)::sys)
with
| Some cub , Some clb ->
(match zlinear_enum (remove e planes) expr
(ceiling_num lb) (floor_num ub) sys
with
| None -> None
| Some prf ->
let bound_proof (c,l) = make_certificate z_spec (List.tl c , List.tl (List.map (fun x -> x -1) l)) in
Some (Mc.EnumProof((*Ml2C.q lb,expr,Ml2C.q ub,*) bound_proof clb, bound_proof cub,prf)))
| _ -> None
)
| _ -> None
and zlinear_enum planes expr clb cub l =
if clb >/ cub
then Some []
else
let pexpr = pplus (popp (pconst (Ml2C.bigint (numerator clb)))) expr in
let sys' = (pexpr, Mc.Equal)::l in
(*let enum = *)
match xzlinear_prover planes sys' with
| None -> if debug then print_string "zlp?"; None
| Some prf -> if debug then print_string "zlp!";
match zlinear_enum planes expr (clb +/ (Int 1)) cub l with
| None -> None
| Some prfl -> Some (prf :: prfl)
let zlinear_prover sys =
let candidates = candidates sys in
(* Printf.printf "candidates %d" (List.length candidates) ; *)
(*let t0 = Sys.time () in*)
let res = xzlinear_prover candidates sys in
(*Printf.printf "Time prover : %f" (Sys.time () -. t0) ;*) res
open Sos_types
open Mutils
let rec scale_term t =
match t with
| Zero -> unit_big_int , Zero
| Const n -> (denominator n) , Const (Big_int (numerator n))
| Var n -> unit_big_int , Var n
| Inv _ -> failwith "scale_term : not implemented"
| Opp t -> let s, t = scale_term t in s, Opp t
| Add(t1,t2) -> let s1,y1 = scale_term t1 and s2,y2 = scale_term t2 in
let g = gcd_big_int s1 s2 in
let s1' = div_big_int s1 g in
let s2' = div_big_int s2 g in
let e = mult_big_int g (mult_big_int s1' s2') in
if (compare_big_int e unit_big_int) = 0
then (unit_big_int, Add (y1,y2))
else e, Add (Mul(Const (Big_int s2'), y1),
Mul (Const (Big_int s1'), y2))
| Sub _ -> failwith "scale term: not implemented"
| Mul(y,z) -> let s1,y1 = scale_term y and s2,y2 = scale_term z in
mult_big_int s1 s2 , Mul (y1, y2)
| Pow(t,n) -> let s,t = scale_term t in
power_big_int_positive_int s n , Pow(t,n)
| _ -> failwith "scale_term : not implemented"
let scale_term t =
let (s,t') = scale_term t in
s,t'
let get_index_of_ith_match f i l =
let rec get j res l =
match l with
| [] -> failwith "bad index"
| e::l -> if f e
then
(if j = i then res else get (j+1) (res+1) l )
else get j (res+1) l in
get 0 0 l
let rec scale_certificate pos = match pos with
| Axiom_eq i -> unit_big_int , Axiom_eq i
| Axiom_le i -> unit_big_int , Axiom_le i
| Axiom_lt i -> unit_big_int , Axiom_lt i
| Monoid l -> unit_big_int , Monoid l
| Rational_eq n -> (denominator n) , Rational_eq (Big_int (numerator n))
| Rational_le n -> (denominator n) , Rational_le (Big_int (numerator n))
| Rational_lt n -> (denominator n) , Rational_lt (Big_int (numerator n))
| Square t -> let s,t' = scale_term t in
mult_big_int s s , Square t'
| Eqmul (t, y) -> let s1,y1 = scale_term t and s2,y2 = scale_certificate y in
mult_big_int s1 s2 , Eqmul (y1,y2)
| Sum (y, z) -> let s1,y1 = scale_certificate y
and s2,y2 = scale_certificate z in
let g = gcd_big_int s1 s2 in
let s1' = div_big_int s1 g in
let s2' = div_big_int s2 g in
mult_big_int g (mult_big_int s1' s2'),
Sum (Product(Rational_le (Big_int s2'), y1),
Product (Rational_le (Big_int s1'), y2))
| Product (y, z) ->
let s1,y1 = scale_certificate y and s2,y2 = scale_certificate z in
mult_big_int s1 s2 , Product (y1,y2)
open Micromega
let rec term_to_q_expr = function
| Const n -> PEc (Ml2C.q n)
| Zero -> PEc ( Ml2C.q (Int 0))
| Var s -> PEX (Ml2C.index
(int_of_string (String.sub s 1 (String.length s - 1))))
| Mul(p1,p2) -> PEmul(term_to_q_expr p1, term_to_q_expr p2)
| Add(p1,p2) -> PEadd(term_to_q_expr p1, term_to_q_expr p2)
| Opp p -> PEopp (term_to_q_expr p)
| Pow(t,n) -> PEpow (term_to_q_expr t,Ml2C.n n)
| Sub(t1,t2) -> PEsub (term_to_q_expr t1, term_to_q_expr t2)
| _ -> failwith "term_to_q_expr: not implemented"
let term_to_q_pol e = Mc.norm_aux (Ml2C.q (Int 0)) (Ml2C.q (Int 1)) Mc.qplus Mc.qmult Mc.qminus Mc.qopp Mc.qeq_bool (term_to_q_expr e)
let rec product l =
match l with
| [] -> Mc.PsatzZ
| [i] -> Mc.PsatzIn (Ml2C.nat i)
| i ::l -> Mc.PsatzMulE(Mc.PsatzIn (Ml2C.nat i), product l)
let q_cert_of_pos pos =
let rec _cert_of_pos = function
Axiom_eq i -> Mc.PsatzIn (Ml2C.nat i)
| Axiom_le i -> Mc.PsatzIn (Ml2C.nat i)
| Axiom_lt i -> Mc.PsatzIn (Ml2C.nat i)
| Monoid l -> product l
| Rational_eq n | Rational_le n | Rational_lt n ->
if compare_num n (Int 0) = 0 then Mc.PsatzZ else
Mc.PsatzC (Ml2C.q n)
| Square t -> Mc.PsatzSquare (term_to_q_pol t)
| Eqmul (t, y) -> Mc.PsatzMulC(term_to_q_pol t, _cert_of_pos y)
| Sum (y, z) -> Mc.PsatzAdd (_cert_of_pos y, _cert_of_pos z)
| Product (y, z) -> Mc.PsatzMulE (_cert_of_pos y, _cert_of_pos z) in
simplify_cone q_spec (_cert_of_pos pos)
let rec term_to_z_expr = function
| Const n -> PEc (Ml2C.bigint (big_int_of_num n))
| Zero -> PEc ( Z0)
| Var s -> PEX (Ml2C.index
(int_of_string (String.sub s 1 (String.length s - 1))))
| Mul(p1,p2) -> PEmul(term_to_z_expr p1, term_to_z_expr p2)
| Add(p1,p2) -> PEadd(term_to_z_expr p1, term_to_z_expr p2)
| Opp p -> PEopp (term_to_z_expr p)
| Pow(t,n) -> PEpow (term_to_z_expr t,Ml2C.n n)
| Sub(t1,t2) -> PEsub (term_to_z_expr t1, term_to_z_expr t2)
| _ -> failwith "term_to_z_expr: not implemented"
let term_to_z_pol e = Mc.norm_aux (Ml2C.z 0) (Ml2C.z 1) Mc.zplus Mc.zmult Mc.zminus Mc.zopp Mc.zeq_bool (term_to_z_expr e)
let z_cert_of_pos pos =
let s,pos = (scale_certificate pos) in
let rec _cert_of_pos = function
Axiom_eq i -> Mc.PsatzIn (Ml2C.nat i)
| Axiom_le i -> Mc.PsatzIn (Ml2C.nat i)
| Axiom_lt i -> Mc.PsatzIn (Ml2C.nat i)
| Monoid l -> product l
| Rational_eq n | Rational_le n | Rational_lt n ->
if compare_num n (Int 0) = 0 then Mc.PsatzZ else
Mc.PsatzC (Ml2C.bigint (big_int_of_num n))
| Square t -> Mc.PsatzSquare (term_to_z_pol t)
| Eqmul (t, y) -> Mc.PsatzMulC(term_to_z_pol t, _cert_of_pos y)
| Sum (y, z) -> Mc.PsatzAdd (_cert_of_pos y, _cert_of_pos z)
| Product (y, z) -> Mc.PsatzMulE (_cert_of_pos y, _cert_of_pos z) in
simplify_cone z_spec (_cert_of_pos pos)
(* Local Variables: *)
(* coding: utf-8 *)
(* End: *)
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