xlifepp – Functions – B#
badDegreeRule#
badNodeRule#
basename#
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string_t xlifepp::basename(const string_t &f)#
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return basename of a file name using last slash and last point as delimiters
basenameWithExtension#
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string_t xlifepp::basenameWithExtension(const string_t &f)#
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return basename of a file name using last slash as delimiter
besselI#
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inline complex_t xlifepp::besselI(const complex_t &z, real_t N)#
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Modified Bessel function of the first kind and order N: I_N(z) (complex case)
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template<>
inline real_t xlifepp::besselI(real_t x, real_t N)#
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Modified Bessel function of the first kind and real order N: I_N(x)
besselI0#
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inline complex_t xlifepp::besselI0(const complex_t &z)#
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Modified Bessel function of the first kind and order 0 : I_0(z) (complex case)
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real_t xlifepp::besselI0(real_t x)#
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Modified Bessel function of the first kind and order 0 : I_0(x)
besselI0N#
besselI1#
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inline complex_t xlifepp::besselI1(const complex_t &z)#
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Modified Bessel function of the first kind and order 1 : I_1(z) (complex case)
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real_t xlifepp::besselI1(real_t x)#
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Modified Bessel function of the first kind and order 1 : I_1(x)
besselJ#
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inline complex_t xlifepp::besselJ(const complex_t &z, real_t N)#
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Bessel function of the first kind and order N: J_N(z) (complex case)
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template<>
inline real_t xlifepp::besselJ(real_t x, real_t N)#
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Bessel function of the first kind and real order N: J_N(x)
besselJ0#
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inline complex_t xlifepp::besselJ0(const complex_t &z)#
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Bessel function of the first kind and order 0 : J_0(z) (complex case)
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real_t xlifepp::besselJ0(real_t x)#
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Bessel function of the first kind and order 0 : J_0(x)
besselJ0N#
besselJ1#
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inline complex_t xlifepp::besselJ1(const complex_t &z)#
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Bessel function of the first kind and order 1 : J_1(z) (complex case)
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real_t xlifepp::besselJ1(real_t x)#
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Bessel function of the first kind and order 1 : J_1(x)
besselJY01Test#
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void xlifepp::besselJY01Test(std::ostream &out)#
besselK#
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inline complex_t xlifepp::besselK(const complex_t &z, real_t N)#
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Modified Bessel function of the second kind and order N: K_N(z) (complex case)
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template<>
inline real_t xlifepp::besselK(real_t x, real_t N)#
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Modified Bessel function of the second kind and real order N: K_N(x)
besselK0#
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inline complex_t xlifepp::besselK0(const complex_t &z)#
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Modified Bessel function of the second kind and order 0 : K_0(z) (complex case)
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real_t xlifepp::besselK0(real_t x)#
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Modified Bessel function of the second kind and order 0 : K_0(x)
besselK0N#
besselK1#
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inline complex_t xlifepp::besselK1(const complex_t &z)#
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Modified Bessel function of the second kind and order 1 : K_1(z) (complex case)
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real_t xlifepp::besselK1(real_t x)#
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Modified Bessel function of the second kind and order 1 : K_1(x)
besselY#
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inline complex_t xlifepp::besselY(const complex_t &z, real_t N)#
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Bessel function of the second kind and order N: Y_N(z) (complex case)
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template<>
inline real_t xlifepp::besselY(real_t x, real_t N)#
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Bessel function of the second kind and real order N: Y_N(x)
besselY0#
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inline complex_t xlifepp::besselY0(const complex_t &z)#
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Bessel function of the second kind and order 0 : Y_0(z) (complex case)
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real_t xlifepp::besselY0(real_t x)#
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Bessel function of the second kind and order 0 : Y_0(x)
besselY0N#
besselY0withoutSingularity#
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real_t xlifepp::besselY0withoutSingularity(real_t x)#
besselY1#
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inline complex_t xlifepp::besselY1(const complex_t &z)#
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Bessel function of the second kind and order 0 : Y_1(z) (complex case)
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real_t xlifepp::besselY1(real_t x)#
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Bessel function of the second kind and order 0 : Y_1(x)
besselY1withoutSingularity#
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real_t xlifepp::besselY1withoutSingularity(real_t x)#
binomialCoefficient#
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number_t xlifepp::binomialCoefficient(int n, int k)#
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compute binomial coefficient C_n^k = n! / ( k! * (n-k)! ) (0 if k<0, n<0 or k>n) C(mx+i,i) = C(mx+i-1,i-1)*(mx+i)/i, i=1,…,min(k,n-k) (exact division) with reduction by g=gcd(C,i) before the product: the intermediate value never exceeds the result (cnk*(mx+i) overflowed for n>=63 whereas the result fits in 64 bits up to n=67) error if the result does not fit in number_t
compute binomial coefficient C_n^k = = n! / ( k! * (n-k)! )
binomialCoefficients#
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void xlifepp::binomialCoefficients(std::vector<number_t> &row)#
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compute n-th row in Pascal’s triangle of binomial coefficients
compute n-th row of Pascal binomial coefficients where n = row.size()-1
k = 0 1 2 3 4 5
n = 1 | 1 1
n = 2 | 1 2 1 C^n_k = C^{n-1}_{k-1} + C^{n-1}_k , 0 <= k <= n
n = 3 | 1 3 3 1
n = 4 | 1 4 6 4 1
n = 5 | 1 5 10 10 5 1 - n = ………………….
binomialCoefficientsScaled#
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void xlifepp::binomialCoefficientsScaled(std::vector<real_t> &row)#
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ompute n-th row in Pascal’s triangle of binomial coefficients scaled by 1/(n-1)!
compute n-th row of Pascal binomial coefficients scaled by (n-1)! where n = row.size()-1
biry#
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inline complex_t xlifepp::biry(real_t x, DiffOpType d = _id)#
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Airy function: Bi(x) or Bi’(x)
bitReverse#
blanks#
blockAdmissible#
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template<typename I>
bool xlifepp::blockAdmissible(ClusterNode<I>*, ClusterNode<I>*, HMAdmissibilityRule, real_t eta = 1.)#
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admissibility rule for a cluster node product
booltoWord#
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string_t xlifepp::booltoWord(bool)#
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convert bool to string true or false
boundary#
boundary3D#
boundingBox#
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BoundingBox xlifepp::boundingBox(const Element &elt)#
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BoundingBox xlifepp::boundingBox(const FeDof &fed)#
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BoundingBox xlifepp::boundingBox(const Point &p)#
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template<typename T>
BoundingBox xlifepp::boundingBox(const T&)#
buildConstraints#
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std::map<const Unknown*, Constraints*> xlifepp::buildConstraints(const EssentialConditions &ecs)#
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build Constraints set from EssentialConditions (list of essential conditions)
build Constraints from EssentialConditions
create Constraints object for each essential condition
merge constraints involving same unknown
if there exist a constraint coupling different unknowns merge all Constraints object in one Constraints object the output is a map of Constraints pointer indexed by unknown pointer; only one Constraints pointer in case of coupling conditions
buildInterpolationData#
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void xlifepp::buildInterpolationData(InterpolationType interpType, number_t dim, FEType &typ, FESubType &sub, number_t &num, SobolevType &spa)#
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build interpolation data from InterpolationType
buildMap#
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const Function *xlifepp::buildMap(const GeomDomain&, const GeomDomain&)#
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build map from dom1 to dom2 in simple cases
buildNameAndSuffixTransformParams#
buildParamSaveToFile#
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void xlifepp::buildParamSaveToFile(const Parameter &p, IOFormat &iof, bool &withElementSplitting, string_t &dataName, bool &aFilePerDomain)#
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void xlifepp::buildParamSaveToFile(const Parameter &p, IOFormat &iof, number_t &nodesDim, bool &aFilePerDomain, bool &isBinary)#
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save mesh to file in format _msh, _melina ,_vtk or _vtu when aFilePerDomain is true, domain informations are also exported
input/output function
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void xlifepp::buildParamSaveToFile(const Parameter &p, IOFormat &iof, string_t &dataName, bool &aFilePerDomain)#
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void xlifepp::buildParamSaveToFile(const Parameter &p, IOFormat &iof, string_t &dataName, bool &aFilePerDomain, InterpolationType &highOrder)#
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input/output function
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void xlifepp::buildParamSaveToFile(const Parameter &p, StorageType &st, bool &encodingFileName)#
buildSolverParams#
buildStorage#
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MatrixStorage *xlifepp::buildStorage(const Space &rs, const Space &cs, StorageType st, AccessType at, StorageBuildType bt)#
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build a storage from a pair of Space
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MatrixStorage *xlifepp::buildStorage(StorageType st, AccessType at, StorageBuildType bt, number_t dimr, number_t dimc, const std::vector<std::set<number_t>> &indices, const string_t &id = "")#
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build a storage from type, dimension and column indices (vector of sets)
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MatrixStorage *xlifepp::buildStorage(StorageType st, AccessType at, StorageBuildType bt, number_t dimr, number_t dimc, const std::vector<std::vector<number_t>> &indices, const string_t &id = "")#
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build a storage from type, dimension and column indices (vector of vectors)
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MatrixStorage *xlifepp::buildStorage(StorageType st, AccessType at, StorageBuildType bt, number_t dimr, number_t dimc, const string_t &id = "")#
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build a storage from type and dimension, no allocation of pointers (void matrix)
ByRef#
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template<class T>
inline RefToValue<T> xlifepp::ByRef(T &t)#
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RefToValue creator.
byteTo#
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real_t xlifepp::byteTo(number_t mem, MemoryUnit mu = _megabyte)#
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convert from byte to xxxbyte