Uses of Class
edu.jas.ps.MultiVarPowerSeries
Packages that use MultiVarPowerSeries
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Uses of MultiVarPowerSeries in edu.jas.ps
Classes in edu.jas.ps that implement interfaces with type arguments of type MultiVarPowerSeriesModifier and TypeClassDescriptionclassMultiVarPowerSeries<C extends RingElem<C>>Multivariate power series implementation.classMultiVarPowerSeriesRing<C extends RingElem<C>>Multivariate power series ring implementation.Fields in edu.jas.ps declared as MultiVarPowerSeriesModifier and TypeFieldDescriptionfinal MultiVarPowerSeries<C> MultiVarPowerSeriesRing.ONEThe constant power series 1 for this ring.final MultiVarPowerSeries<C> Pair.pifinal MultiVarPowerSeries<C> Pair.pjfinal MultiVarPowerSeries<C> MultiVarPowerSeriesRing.ZEROThe constant power series 0 for this ring.Fields in edu.jas.ps with type parameters of type MultiVarPowerSeriesModifier and TypeFieldDescriptionprotected final ArrayList<MultiVarPowerSeries<C>> OrderedPairlist.PMethods in edu.jas.ps that return MultiVarPowerSeriesModifier and TypeMethodDescriptionMultiVarPowerSeries.abs()Absolute value.MultiVarPowerSeries.copy()Clone this power series.MultiVarPowerSeriesRing.copy(MultiVarPowerSeries<C> c) Copy power series.MultiVarPowerSeries.differentiate(int r) Differentiate with respect to variable r.MultiVarPowerSeries.divide(MultiVarPowerSeries<C> ps) Divide by another power series.MultiVarPowerSeries.egcd(MultiVarPowerSeries<C> S) Power series extended greatest common divisor.MultiVarPowerSeriesRing.fixPoint(MultiVarPowerSeriesMap<C> map) Fixed point construction.MultiVarPowerSeriesRing.fromInteger(long a) Get a (constant) MultiVarPowerSeries<C> from a long value.MultiVarPowerSeriesRing.fromInteger(BigInteger a) Get a (constant) MultiVarPowerSeries<C> from a java.math.BigInteger.MultiVarPowerSeriesRing.fromPolynomial(GenPolynomial<C> a) Get a MultiVarPowerSeries<C> from a GenPolynomial<C>.MultiVarPowerSeriesRing.fromPowerSeries(UnivPowerSeries<C> ps, int r) Get a MultiVarPowerSeries<C> from a univariate power series.MultiVarPowerSeries.gcd(MultiVarPowerSeries<C> ps) Power series greatest common divisor.Generate a power series via lambda expression.MultiVarPowerSeriesRing.getCOS(int r) Get the power series of the cosinus function.MultiVarPowerSeriesRing.getEXP(int r) Get the power series of the exponential function.MultiVarPowerSeriesRing.getONE()Get the one element.MultiVarPowerSeriesRing.getSIN(int r) Get the power series of the sinus function.MultiVarPowerSeriesRing.getTAN(int r) Get the power series of the tangens function.MultiVarPowerSeriesRing.getZERO()Get the zero element.Integrate with respect to variable r and with given constant.MultiVarPowerSeries.inverse()Inverse power series.MultiVarPowerSeries.map(UnaryFunctor<? super C, C> f) Map a unary function to this power series.MultiVarPowerSeriesMap.map(MultiVarPowerSeries<C> ps) Map.MultiVarPowerSeries.monic()Monic.Multiply by coefficient.Multiply by exponent vector and coefficient.MultiVarPowerSeries.multiply(MultiVarPowerSeries<C> ps) Multiply by another power series.MultiVarPowerSeries.negate()Negate.ReductionSeq.normalform(List<MultiVarPowerSeries<C>> Pp, MultiVarPowerSeries<C> Ap) Top normal-form with Mora's algorithm.Parse a power series.Parse a power series.Prepend a new leading coefficient.MultiVarPowerSeries.quotientRemainder(MultiVarPowerSeries<C> S) Quotient and remainder by division of this by S.MultiVarPowerSeriesRing.random()Generate a random power series with k = 5, d = 0.7.MultiVarPowerSeriesRing.random(int k) Generate a random power series with d = 0.7.MultiVarPowerSeriesRing.random(int k, float d) Generate a random power series.Generate a random power series.Generate a random power series with d = 0.7.MultiVarPowerSeries.reductum()Reductum.MultiVarPowerSeries.reductum(int r) Reductum.MultiVarPowerSeries.remainder(MultiVarPowerSeries<C> ps) Power series remainder.Select coefficients.MultiVarPowerSeriesRing.seriesOfTaylor(TaylorFunction<C> f, List<C> a) Taylor power series.MultiVarPowerSeries.shift(int k, int r) Shift coefficients.Shift coefficients.MultiVarPowerSeries.shiftSelect(Selector<? super C> sel) Shift select coefficients.MultiVarPowerSeriesRing.solvePDE(MultiVarPowerSeries<C> f, C c, int r) Solve an partial differential equation.ReductionSeq.SPolynomial(MultiVarPowerSeries<C> A, MultiVarPowerSeries<C> B) S-Power-series, S-polynomial.Subtract exponent vector and coefficient.MultiVarPowerSeries.subtract(MultiVarPowerSeries<C> ps) Subtract a another power series.MultiVarPowerSeries.subtractZip(MultiVarPowerSeries<C> ps) Subtraction of two power series, using zip().Sum exponent vector and coefficient.MultiVarPowerSeries.sum(MultiVarCoefficients<C> mvc) Sum exponent vector and coefficient.MultiVarPowerSeries.sum(MultiVarPowerSeries<C> ps) Sum a another power series.Sum monomial.MultiVarPowerSeries.sumZip(MultiVarPowerSeries<C> ps) Sum of two power series, using zip().ReductionSeq.totalNormalform(List<MultiVarPowerSeries<C>> P, MultiVarPowerSeries<C> A) Total reduced normal-form with Mora's algorithm.MultiVarPowerSeries.zip(BinaryFunctor<? super C, ? super C, C> f, MultiVarPowerSeries<C> ps) Map a binary function to this and another power series.Methods in edu.jas.ps that return types with arguments of type MultiVarPowerSeriesModifier and TypeMethodDescriptionMultiVarPowerSeriesRing.fromPolynomial(List<GenPolynomial<C>> A) Get a list of MultiVarPowerSeries<C> from a list of GenPolynomial<C>.MultiVarPowerSeriesRing.generators()Get a list of the generating elements.OrderedPairlist.getList()Get the list of power series.StandardBaseSeq.minimalSTD(List<MultiVarPowerSeries<C>> Gp) Minimal ordered Standard basis.static <C extends RingElem<C>>
List<MultiVarPowerSeries<C>> PSUtil.monic(List<MultiVarPowerSeries<C>> L) Power series list monic.StandardBaseSeq.normalizeZerosOnes(List<MultiVarPowerSeries<C>> A) Normalize power series list.StandardBaseSeq.STD(int modv, List<MultiVarPowerSeries<C>> F) Standard base using pairlist class.StandardBaseSeq.STD(List<MultiVarPowerSeries<C>> F) Standard base using pairlist class.ReductionSeq.totalNormalform(List<MultiVarPowerSeries<C>> P) Total reduced normalform with Mora's algorithm.Methods in edu.jas.ps with parameters of type MultiVarPowerSeriesModifier and TypeMethodDescriptionintMultiVarPowerSeries.compareTo(MultiVarPowerSeries<C> ps) Compare to.MultiVarPowerSeriesRing.copy(MultiVarPowerSeries<C> c) Copy power series.booleanReductionSeq.criterion4(MultiVarPowerSeries<C> A, MultiVarPowerSeries<C> B, ExpVector e) GB criterion 4.MultiVarPowerSeries.divide(MultiVarPowerSeries<C> ps) Divide by another power series.MultiVarPowerSeries.egcd(MultiVarPowerSeries<C> S) Power series extended greatest common divisor.MultiVarPowerSeries.gcd(MultiVarPowerSeries<C> ps) Power series greatest common divisor.booleanReductionSeq.isTopReducible(List<MultiVarPowerSeries<C>> P, MultiVarPowerSeries<C> A) Is top reducible.MultiVarPowerSeriesMap.map(MultiVarPowerSeries<C> ps) Map.booleanReductionSeq.moduleCriterion(int modv, MultiVarPowerSeries<C> A, MultiVarPowerSeries<C> B) Module criterium.MultiVarPowerSeries.multiply(MultiVarPowerSeries<C> ps) Multiply by another power series.ReductionSeq.normalform(List<MultiVarPowerSeries<C>> Pp, MultiVarPowerSeries<C> Ap) Top normal-form with Mora's algorithm.intOrderedPairlist.put(MultiVarPowerSeries<C> p) Put one power Series to the pairlist and reduction matrix.intOrderedPairlist.putOne(MultiVarPowerSeries<C> one) Put to ONE-power-series to the pairlist.MultiVarPowerSeries.quotientRemainder(MultiVarPowerSeries<C> S) Quotient and remainder by division of this by S.MultiVarPowerSeries.remainder(MultiVarPowerSeries<C> ps) Power series remainder.MultiVarPowerSeriesRing.solvePDE(MultiVarPowerSeries<C> f, C c, int r) Solve an partial differential equation.ReductionSeq.SPolynomial(MultiVarPowerSeries<C> A, MultiVarPowerSeries<C> B) S-Power-series, S-polynomial.MultiVarPowerSeries.subtract(MultiVarPowerSeries<C> ps) Subtract a another power series.MultiVarPowerSeries.subtractZip(MultiVarPowerSeries<C> ps) Subtraction of two power series, using zip().MultiVarPowerSeries.sum(MultiVarPowerSeries<C> ps) Sum a another power series.MultiVarPowerSeries.sumZip(MultiVarPowerSeries<C> ps) Sum of two power series, using zip().ReductionSeq.totalNormalform(List<MultiVarPowerSeries<C>> P, MultiVarPowerSeries<C> A) Total reduced normal-form with Mora's algorithm.MultiVarPowerSeries.zip(BinaryFunctor<? super C, ? super C, C> f, MultiVarPowerSeries<C> ps) Map a binary function to this and another power series.Method parameters in edu.jas.ps with type arguments of type MultiVarPowerSeriesModifier and TypeMethodDescriptionbooleanReductionSeq.contains(List<MultiVarPowerSeries<C>> S, List<MultiVarPowerSeries<C>> B) Ideal containment.booleanStandardBaseSeq.isSTD(int modv, List<MultiVarPowerSeries<C>> F) Standard base test.booleanStandardBaseSeq.isSTD(List<MultiVarPowerSeries<C>> F) Standard base test.booleanReductionSeq.isTopReducible(List<MultiVarPowerSeries<C>> P, MultiVarPowerSeries<C> A) Is top reducible.StandardBaseSeq.minimalSTD(List<MultiVarPowerSeries<C>> Gp) Minimal ordered Standard basis.static <C extends RingElem<C>>
List<MultiVarPowerSeries<C>> PSUtil.monic(List<MultiVarPowerSeries<C>> L) Power series list monic.ReductionSeq.normalform(List<MultiVarPowerSeries<C>> Pp, MultiVarPowerSeries<C> Ap) Top normal-form with Mora's algorithm.StandardBaseSeq.normalizeZerosOnes(List<MultiVarPowerSeries<C>> A) Normalize power series list.intOrderedPairlist.put(List<MultiVarPowerSeries<C>> F) Put all power series in F to the pairlist and reduction matrix.StandardBaseSeq.STD(int modv, List<MultiVarPowerSeries<C>> F) Standard base using pairlist class.StandardBaseSeq.STD(List<MultiVarPowerSeries<C>> F) Standard base using pairlist class.ReductionSeq.totalNormalform(List<MultiVarPowerSeries<C>> P) Total reduced normalform with Mora's algorithm.ReductionSeq.totalNormalform(List<MultiVarPowerSeries<C>> P, MultiVarPowerSeries<C> A) Total reduced normal-form with Mora's algorithm.Constructors in edu.jas.ps with parameters of type MultiVarPowerSeriesModifierConstructorDescriptionPair(MultiVarPowerSeries<C> a, MultiVarPowerSeries<C> b, int i, int j) Pair constructor.