From 6caa9c65354ac3d806f161162fe65ee74827a4c3 Mon Sep 17 00:00:00 2001 From: Antonio Jimenez Pastor Date: Tue, 22 Jan 2019 17:42:06 +0100 Subject: [PATCH] First implementation for diffalg_reduction finished. Need to be further tested --- ajpastor/dd_functions/toDiffAlgebraic.py | 184 ++++++++++++++++----- releases/diff_defined_functions__0.6.zip | Bin 130371 -> 131282 bytes ...f_defined_functions__0.6__19.01.22_17:42:06.zip | Bin 0 -> 131282 bytes 3 files changed, 142 insertions(+), 42 deletions(-) create mode 100644 releases/old/diff_defined_functions__0.6__19.01.22_17:42:06.zip diff --git a/ajpastor/dd_functions/toDiffAlgebraic.py b/ajpastor/dd_functions/toDiffAlgebraic.py index 3420a99..af36443 100644 --- a/ajpastor/dd_functions/toDiffAlgebraic.py +++ b/ajpastor/dd_functions/toDiffAlgebraic.py @@ -1,6 +1,8 @@ from sage.all_cmdline import * # import sage library +from sage.graphs.digraph import DiGraph; + from sage.rings.polynomial.polynomial_ring import is_PolynomialRing; from sage.rings.polynomial.multi_polynomial_ring import is_MPolynomialRing; from sage.rings.fraction_field import is_FractionField; @@ -10,6 +12,7 @@ from ajpastor.dd_functions.ddExamples import *; from sage.rings.polynomial.infinite_polynomial_ring import InfinitePolynomialRing; from ajpastor.misc.matrix import matrix_of_dMovement; +from ajpastor.misc.matrix import differential_movement; ################################################################################ ### @@ -36,7 +39,7 @@ def get_InfinitePolynomialRingVaribale(parent, gen, number): return parent(repr(gen).replace("*", str(number))); #### TODO: Review this function -def infinite_derivative(element, times=1, var=x): +def infinite_derivative(element, times=1, var=x, _infinite=True): ''' Method that takes an element and compute its times-th derivative with respect to the variable given by var. @@ -51,6 +54,12 @@ def infinite_derivative(element, times=1, var=x): as derivative the variable "#_{n+1}", i.e., the same name but with one higher index. ''' + ## Checking the input _infinite + if(_infinite): + r_method = fromFinitePolynomial_toInfinitePolynomial; + else: + r_method = fromInfinityPolynomial_toFinitePolynomial; + if(not ((times in ZZ) and times >=0)): raise ValueError("The argument 'times' must be a non-negative integer"); elif(times > 1): # Recursive call @@ -78,12 +87,15 @@ def infinite_derivative(element, times=1, var=x): ## Symbolic case? if(sage.symbolic.ring.is_SymbolicExpressionRing(parent.base())): raise TypeError("Base ring for the InfinitePolynomialRing not valid (found SymbolicRing)"); + ## Zero case + if(element == 0): + return 0; ### Monomial case if(element.is_monomial()): ## Case of degree 1 (add one to the index of the variable) if(len(element.variables()) == 1 and element.degree() == 1): g,n = get_InfinitePolynomialRingGen(parent, element, True); - return get_InfinitePolynomialRingVaribale(parent, g,n+1); + return r_method(get_InfinitePolynomialRingVaribale(parent, g,n+1)); ## Case of higher degree else: # Computing the variables in the monomial and their degrees (in order) @@ -103,12 +115,12 @@ def infinite_derivative(element, times=1, var=x): each_sum += [degrees[i]*infinite_derivative(parent(variables[i]))*part_prod]; ## Computing the final result - return com_factor*sum(each_sum); + return r_method(com_factor*sum(each_sum)); ### Non-monomial case else: coefficients = element.coefficients(); monomials = [parent(el) for el in element.monomials()]; - return sum([infinite_derivative(coefficients[i])*monomials[i] + coefficients[i]*infinite_derivative(monomials[i]) for i in range(len(monomials))]); + return r_method(sum([infinite_derivative(coefficients[i])*monomials[i] + coefficients[i]*infinite_derivative(monomials[i]) for i in range(len(monomials))])); ################################################################################ ### @@ -191,8 +203,8 @@ def diffalg_reduction(poly, _infinite=False, _debug=False): ## Step 2: simplification of coefficients __dprint("-- Starting step 2", _debug); - poset, relations = __simplify_coefficients(R, coeffs, l_of_derivatives, _debug); - maximal_elements = poset.maximal_elements(); + graph = __simplify_coefficients(R, coeffs, l_of_derivatives, _debug); + maximal_elements = __digraph_roots(graph, _debug); ## Detecting case: all coefficients are already simpler if(len(maximal_elements) == 1 and maximal_elements[0] == -1): @@ -209,7 +221,7 @@ def diffalg_reduction(poly, _infinite=False, _debug=False): ## Building the vector of final generators gens = []; - if(-1 in poset): + if(-1 in maximal_elements): gens = [1]; gens = sum([l_of_derivatives[i][:drelations[i][0]] for i in range(len(coeffs))], gens); S = len(gens); @@ -218,14 +230,15 @@ def diffalg_reduction(poly, _infinite=False, _debug=False): ## Step 4: build the derivation matrix __dprint("-- Starting step 4", _debug); C = __build_derivation_matrix(gens, coeffs, drelations, _debug); + cR = InfinitePolynomialRing(C.base_ring(), names=["y"]); ## Step 5: build the vector v __dprint("-- Starting step 5", _debug); - v = __build_vector(ocoeffs, monomials, poset, relations, drelations, gens, _debug); + v = __build_vector(ocoeffs, monomials, graph, drelations, cR, _debug); ## Step 6: build the square matrix M = (v, v',...) __dprint("-- Starting step 6", _debug); - derivative = None; # TODO: set this derivation + derivative = infinite_derivative; # TODO: set this derivation M = matrix_of_dMovement(C, v, derivative, S); return r_method(M.determinant()); @@ -275,8 +288,8 @@ def __simplify_coefficients(base, coeffs, derivatives, _debug=False): Method that get the relations for the coefficients within their derivatives. The list 'coeffs' is the list to simplify and ;derivatives' is a list of lists with the derivatives of each element of 'coeffs' that we will consider. - It returns a pair (poset, relations) where: - - poset: the Partially Oriented Set of the indices + It returns a pair (graph, relations) where: + - graph: a forest of the points of minimal depth with all the relations - relations: a dictionary which tells for each i < j, how the ith coefficient is related with the jth coefficient (see __find_relation to know how that relation is expressed). ''' @@ -293,33 +306,32 @@ def __simplify_coefficients(base, coeffs, derivatives, _debug=False): if(coeffs[i] in base): if((-1) not in E): E += [-1]; - R += [(i,-1)]; + R += [(-1,i,(0,0,coeffs[i]))]; # Starting the comparison - relations = {}; for i in range(n): for j in range(i+1, n): # Checking (j,i) rel = __find_relation(coeffs[j], derivatives[i], _debug); if(not(rel is None)): - R += [(j,i)]; - relations[(j,i)] = rel; + R += [(i,j,rel)]; continue; # Checking (i,j) rel = __find_relation(coeffs[i], derivatives[j], _debug); if(not(rel is None)): - R += [(i,j)]; - relations[(i,j)] = rel; + R += [(j,i,rel)]; # Checking if the basic case will be used because of the relations - if((-1) not in E and any(rel[1][1] != 0 for rel in relations.values())): + if((-1) not in E and any(e[2][1][1] != 0 for e in R)): E += [-1]; - # Building the poset and returning + # Building the graph and returning __dprint("All relations: %s" %R, _debug); - poset = Poset((E,R)); + graph = DiGraph([E,R]); + __dprint("Edges: %s" %graph.edges(), _debug); - return (poset, relations); + # Deleting spurious relations and returning + return __min_span_tree(graph, _debug); def __simplify_derivatives(derivatives, _debug=False): ''' @@ -391,6 +403,34 @@ def __find_linear_relation(f,g): elif(g.is_constant): return None; +def __min_span_tree(digraph, _debug=False): + ''' + Method that computes a forest from a directed graph containing all vertices and having the minimal depth. + + It is computed with a breadth first search. + ''' + to_search = __digraph_roots(digraph, _debug); + i = 0; + done = []; + edges = []; + while(i < len(to_search)): + v = to_search[i]; + if(not (v in done)): + for e in digraph.outgoing_edges(v): + if(not(e[1] in to_search)): + to_search += [e[1]]; + edges += [e]; + done += [v]; + i += 1; + return DiGraph([digraph.vertices(),edges]); + +def __digraph_roots(digraph, _debug=False): + ''' + Method that computes the roots of a directed graph. We consider a vertex v to be a root if there + are not edges (v,w) in the graph. + ''' + return [v for v in digraph.vertices() if digraph.in_degree(v) == 0]; + def __build_derivation_matrix(gens, coeffs, drelations, _debug=False): ''' Method to build a derivation matrix 'C' for the vector of generators 'gen'. @@ -456,33 +496,93 @@ def __build_derivation_matrix(gens, coeffs, drelations, _debug=False): return Matrix(rows); -def __build_vector(coeffs, monomials, poset, relations, drelations, gens, _debug=False): +def __build_vector(coeffs, monomials, graph, drelations, cR, _debug=False): ''' This method builds a vector that represent the polynomial generated by - 'coeffs' and 'monomials' using the relations contained in 'poset', 'relations' + 'coeffs' and 'monomials' using the relations contained in 'graph' and 'drelations' w.r.t. the vector 'gens'. The output vector v satisfies: - sum(coeff[i]*monomials[i]) == sum(v[j]*gens[j]) + sum(coeffs[i]*monomials[i]) == sum(v[j]*gens[j]) ''' - - ## Getting the minimal chain for each coefficient up to a maximal coefficient - maximal_elements = poset.maximal_elements(); - chains = {i : [el for el in poset.chains() if (len(el) > 0 and el[0] == i and (el[-1] in maximal_elements)] for i in range(len(coeffs))}; - min_chains = []; + # Computing important data for each coefficient + maximal_elements = [el for el in __digraph_roots(graph) if el != -1]; + coeff_order = []; for i in range(len(coeffs)): - current = chains[i]; - shortest = current[0]; - for j in range(1,len(current)): - if(len(shortest) > len(current[j])): - shortest = current[j]; - min_chains += [shortest]; + if(i in maximal_elements and (not (drelations[maximal_elements.index(i)][0] is None))): + coeff_order += [drelations[maximal_elements.index(i)][0]]; + else: + coeff_order += [coeffs[i].getOrder()]; + constant = (-1 in graph.vertices()); + + # Computing vectors and companion matrices for each element + vectors = [vector(cR, [monomials[i]] + [0 for i in range(coeff_order[i]-1)]) for i in range(len(coeffs))]; + trans = []; + for i in range(len(coeffs)): + if(i in maximal_elements and (not (drelations[maximal_elements.index(i)][0] is None))): + relation = drelations[maximal_elements.index(i)]; + C = []; + for j in range(relation[0]): + new_row = [el for el in coeffs[i].equation.companion()[j][:relation[0]-1]] + [0]; + if(j == relation[1][0]): + new_row[-1] = relation[1][1][0]; + C += [new_row]; + C = Matrix(C); + trans += [(drelations[maximal_elements.index(i)][1][1][1], C)]; + else: + trans += [(0, coeffs[i].equation.companion())]; + + const_val = 0; + # Doing a Tree Transversal in POstorder in the graph to pull up the vectors + stack = copy(maximal_elements); stack.reverse(); + # Case for -1 + if(constant): + maximal_elements = [-1] + maximal_elements; + const_val = sum(cR(coeffs[e[1]])*monomials[coeffs[e[1]]] for e in graph.outgoing_edges(-1)); + + # Rest of the graph + ready = []; + while(len(stack) > 0): + current = stack[-1]; + if(current in ready): + if(not (current in maximal_elements)): + # Visit the node: pull-up the vector + edge = graph.incoming_edges(current)[0]; + cu_vector = vectors[current]; + de_vector = vectors[edge[0]]; + relation = edge[2]; + C = trans[edge[0]][1]; + + # Building vectors for all the required derivatives + ivectors = [vector(cR, [0 for i in range(relation[0])] + [1] + [0 for i in range(relation[0]+1,coeff_order[edge[0]])])]; + extra_cons = [relation[1][1]]; + + for i in range(len(cu_vector)): + extra_cons += [ivectors[-1][-1]*trans[edge[0]][0]]; + ivectors += [differential_movement(C, ivectors[-1], infinite_derivative)]; + + vectors[edge[0]] = sum([vector(cR,[cu_vector[i]*ivectors[i][j] for j in range(len(ivectors[i]))]) for i in range(len(cu_vector))], de_vector); + const_val += sum([cu_vector[i]*extra_cons[i] for i in range(len(cu_vector))]); + + # Getting out the element of the stack + stack.pop(); + else: + # Add the children and visit them + ready += [current]; + for e in graph.outgoing_edges(current): + stack.append(e[1]); + + final_vector = []; + for i in maximal_elements: + if(i == -1): + final_vector += [const_val]; + else: + final_vector += [el for el in vectors[i]]; + + final_vector = vector(cR, final_vector); + __dprint("Vector: %s" %final_vector, _debug); - ## For each coefficient, compute the representation in gens - ## We must follow the shortest chain to a maximal element to know where and - ## how put the coefficients in the final vector. - ## TODO: Implement this - raise NotImplementedError("__build_vector: method not implemented"); + return vector(final_vector); ################################################################################ @@ -999,7 +1099,7 @@ def find_linear_relation(f,g): def build_derivation_matrix(gens, coeffs, drelations, _debug=True): return __build_derivation_matrix(gens, coeffs, drelations, _debug); -def build_vector(coeffs, monomials, poset, relations, drelations, gens, _debug=True): - return __build_vector(coeffs, monomials, poset, relations, drelations, gens, _debug); +def build_vector(coeffs, monomials, graph, drelations, cR, _debug=True): + return __build_vector(coeffs, monomials, graph, drelations, cR, _debug); __all__ += ["simplify_coefficients", "simplify_derivatives", "find_relation", "find_linear_relation", "build_derivation_matrix", "build_vector"]; diff --git a/releases/diff_defined_functions__0.6.zip b/releases/diff_defined_functions__0.6.zip index c873547589013c79ee71e7bc1f1a1381d38093a6..a244059360e9165fa34a790370fc465a7157c7e6 100644 GIT binary patch delta 16335 zcma)jWmuGJ*Y*qz(j|?gba#hzr?hlQcMl-aU4xR+(kWfiE!`m9DGlN`=<~hryPv(? zd&4omSnFKpiu<~+Iap`sE&O-@0*bO6Gz=2p@kcz0D-MN}YDr2;ZyEA&^>_jR!t6i; z05GPIzy7b?jIWPEoC+nCX3>ML@rLB@4INa6<>THnQzlM4(;FB{>>!(>IYpUA9zm|$c59EU##1+{a>R{$0-Lig+csf 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