克里金插值及DEM等高线生成

__ __ _ _ _ _ ______ _______ | \/ | | | | | | \ | | ____|__ __| | \ / | __ _| |_| |__ | \| | |__ | | | |\/| |/ _` | __| '_ \ | . ` | __| | | | | | | (_| | |_| | | |_| |\ | |____ | | |_| |_|\__,_|\__|_| |_(_)_| \_|______| |_| Math.NET Numerics - http://numerics.mathdotnet.com Copyright (c) Math.NET - Open Source MIT/X11 License Math.NET Numerics v3.9.0 ### 3.9.0 - 2015-11-25 * Distributions: Normal.CDF avoids problematic subtraction by using Erfc instead of Erf. * Statistics: geometric and harmonic mean. * Statistics: DataContracts for ephemeral serialization on RunningStatistics, DescriptiveStatistics and Histogram. * BUG: Statistics: Histogram did not adjust lower bound correctly when value was equal to the bound *~Volker Breuer* * Linear Algebra: minor optimization on how we call Array.Copy. * BUG: Linear Algebra: fix bug in Complex and Complex32 SparseMatrix.ToTypeString. ### 3.8.0 - 2015-09-26 * Distributions: PDF and CDF more robust for large distribution parameters. * Distributions: BetaScaled distribution. * Distributions: method to create a PERT distribution (based on BetaScaled) *~John C Barstow* * Distributions: Weibull.Estimate *~Jon Larborn* * Random: NextBoolean extensions. * Root Finding: RootFinding.Secant (based on NewtonRaphson) *~grovesNL* * Linear Algebra: Matrix Rank calculation now uses a tolerance based on the matrix size. * Linear Algebra: Alternative CreateMatrix/Vector functions with type parameter on functions instead of type. * Linear Algebra: MKL LinearAlgebra provider requires at least native provider r9 (linear algebra v2.0). * Native Providers: automatic handling of intermediate work arrays/buffers in MKL and OpenBLAS providers *~Marcus Cuda, Kuan Bartel* * Native Providers: automatically use native provider if available. * Native Providers: new Control.TryUse* to make it simpler to use providers if available but without failing if not. * Native Providers: improved error state checking and handling *~Marcus Cuda, Kuan Bartel* * Combinatorics: generate or select random permutation, combination or variation (shuffling) * Finance: rename CompoundMonthlyReturn to CompoundReturn (old now obsolete). ### 3.7.1 - 2015-09-10 * BUG: Linear Algebra: fix optimized path of adding a sparse matrix to itself. ### 3.7.0 - 2015-05-09 * Statistics: RunningStatistics now propagates min/max on Combine, handles NaN on Push. * Statistics: new MovingStatistics providing descriptive statistics over a moving window *~Marcus Cuda* * Statistics: new Statistics.MovingAverage. * Statistics: Improved Histogram handling of small-width buckets *~Justin Needham* * Distributions: ChiSquare.InvCDF *~logophobia* * FFT: Fourier.FrequencyScale to generate the frequency corresponding to each index in frequency space. * BUG: FFT: fix Bluestein algorithm for sequences with more than 46341 samples but not power-of-two. * Linear Algebra: SparseVector.AbsoluteMaximumIndex *~Matt Heffron* * MKL Native Provider: OSX build script *~Marcus Cuda* * MKL Native Provider: new combined NuGet package with a proper build target (no more manual file handling needed). * OpenBLAS Native Provider: a new linear algebra provider using OpenBLAS *~Kuan Bartel* * CUDA Native Provider: a new GPU-based linear algebra provider using Nvidia CUDA *~Matthew A. Johnson* * Native Providers: now versioned separately for each kind (MKL, CUDA, OpenBLAS). ### 3.6.0 - 2015-03-22 * Distributions: ChiSquare.CDF more robust for large numbers *~Baltazar Bieniek* * Linear Algebra: MatrixStorage.Map2 equivalent to VectorStorage.Map2 * Linear Algebra: Matrix and Vector Find/Find2, Exists/Exists2, ForAll/ForAll2 * Linear Algebra: more consistent range checking in MatrixStorage.Clear and related * Linear Algebra: mixed-storage fall back implementations now leverage higher-order functions * BUG: Linear Algebra: fix loop range in MatrixStorage.ClearColumns (built-in storage not affected) * BUG: Linear Algebra: fix sparse matrix equality. * BUG: Linear Algebra: ArgumentException instead of index exception when trying to create an empty matrix. * Generate: Unfold, Fibonacci; Normal and Standard replacing Gaussian and Stable. * Native Providers: NativeProviderLoader to automatically load the provider for the matching processor architecture (x86, x64) *~Kuan Bartel* * Native Providers: Control.NativeProviderPath allowing to explicitly declare where to load binaries from. * MKL Native Provider: support for native complex eigen-value decomposition *~Marcus Cuda* * MKL Native Provider: non-convergence checks in singular-value and eigen-value decompositions *~Marcus Cuda* ### 3.5.0 - 2015-01-10 * Differentiation: derivative, partial and mixed partial; hessian & jacobian *~Hythem Sidky* * Differentiation: Differentiate facade class for simple use cases * Differentiation: F# module for better F# function support. * Linear Algebra: matrix ToRowArrays/ToColumnArrays * Linear Algebra: F# insertRow, appendRow, prependRow and same also for columns * Linear Algebra: F# append, stack and ofMatrixList2 * Precision: measured machine epsilon, positive vs negative epsilon ### 3.4.0 - 2015-01-04 * Special Functions: Generalized Exponential Integral *~Ashley Messer* * Special Functions: Regularized Incomplete Gamma domain extended to a=0 *~Ashley Messer* * Statistics: weighted Pearson correlation *~ViK* * MKL Native Provider: memory functions to free buffers and gather usage statistics *~Marcus Cuda* * F#: depend on new official FSharp.Core NuGet package instead of FSharp.Core.Microsoft.Signed * F#: simpler NuGet package dependencies (no more need for framework groups) * Build: vagrant bootstrap now uses the latest xamarin mono packages ### 3.3.0 - 2014-11-26 * Linear Algebra: Vector.Fold2 (fold2 in F#), storage optimized * Linear Algebra: Minor change how matrix products call the LA provider * Linear Algebra: Random generation now leveraging array sampling routines * BUG: Linear Algebra: fix bug when manually assigning System.Random to random distribution * Root Finding: Change Brent tolerance check, add bracket check *~Hythen Sidky* * Root Finding: Auto zero-crossing bracketing in FindRoots facade (not in algorithms) * Statistics: RootMeanSquare (RMS) * Distributions: Array sampling routines now available through interface * Distributions: Categorical sampling now explicitly skips p=0 categories * Generate: leverage array sampling routines for random data generation * Generate: square, triangle and sawtooth waves * Distance: Jaccard Index * F#: explicitly depend on official FSharp.Core NuGet packages * F#: NuGet package with iPython IfSharp F# module integration load script * F#: load scripts with better packet support (and NuGet with -ExcludeVersion) * Build: unified build.sh and buildn.sh into combined build.sh * Build: use Paket instead of NuGet to maintain NuGet dependencies * Build: for core add PCL profiles 7, 78 and 259; for F# extensions drop PCL profile 328 ### 3.2.3 - 2014-09-06 * BUG: MatrixNormal distribution: fix density for non-square matrices *~Evelina Gabasova* ### 3.2.2 - 2014-09-05 * BUG: MatrixNormal distribution: density computation switched row and column covariance *~Evelina Gabasova* ### 3.2.1 - 2014-08-05 * Package fix: make sure .Net 3.5-only dependencies are not installed on .Net 4 and newer. ### 3.2.0 - 2014-08-05 * Linear Algebra: Vector.Map2 (map2 in F#), storage-optimized * Linear Algebra: fix RemoveColumn/Row early index bound check (was not strict enough) * Statistics: Entropy *~Jeff Mastry* * Interpolation: use Array.BinarySearch instead of local implementation *~Candy Chiu* * Resources: fix a corrupted exception message string * Portable Build: support .Net 4.0 as well by using profile 328 instead of 344. * .Net 3.5: F# extensions now support .Net 3.5 as well * .Net 3.5: NuGet package now contains p