Description: This MEX performs 2d bilinear interpolation using an NVIDIA graphics chipset. To compile and run this software, one needs the NVIDIA CUDA Toolkit (http://www.nvidia.com/object/cuda_get.html) and, of course, an NVIDIA graphics card of reasonably modern vintage.
BUILDING INSTRUCTIONS: Change the 'MATLAB' (and if necessary, 'MEX') variables in the Makefile to appropriate values, then simply run 'make' at a prompt and an executable (mex/mexmac/mexmaci/dll?) file will be created.
This code uses your GPU's built-in bilinear texture interpolation capability, and is very fast. For reasonably sized operations (taking, say, a 50x50 matrix up to 1000x1000) CUDA-based code is 5-10x faster than linear interp2 (as tested on a MBP 2.4GHz C2D, GeForce 8600M GT).
With very (VERY) large matrices, however, it has the capability of completely crashing your computer or giving bizarre results. Be careful!
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Size: 37881 |
Author:whitewalter |
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Description: 已知某函数在已知点上的函数值，用拉格朗日插值多项式求出其余点的函数值lagrange.c-known function of a known point in the function, polynomial interpolation using Lagrange points obtained a function of the remaining value lagrange.c Platform: |
Size: 1024 |
Author:张林 |
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Description: 1、掌握用MATLAB计算拉格朗日、分段线性、三次样条三种插值的方法，改变节点的数目，对三种插值结果进行初步分析。 2、掌握用MATLAB作线性最小二乘的方法。 3、通过实例学习如何用插值方法与拟合方法解决实际问题，注意二者的联系和区别。-1. Grasp by matlab calculating Lagrange, segement linear, 3rd order spline these 3 interpolation method. Analisize the 3 interpolation results by changing the No. of points.
2. Grasp the method of linear minimun 2 product mehtod using matlab.
3. Solve the practical problems though the study of example of how to use interpolation and fitting method. Pay attention to the relation and difference of the 2 methods. Platform: |
Size: 119808 |
Author:葛林 |
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Description: 多项式最小二乘法
三弯矩插值法
lagrange多项式插值
多项式最小二乘法
龙贝格积分法
分段线性插值
三转角插值
这些是数值分析中常用的集中经典方法，运用matlab展示出来！-least squares polynomial interpolation three Moment Hangzhou polynomial interpolation polynomial least-squares method Long Bagby integration piecewise linear interpolation three corner interpolation these numerical analysis is commonly used in concentrated classical method, using Matlab show! Platform: |
Size: 27648 |
Author:jasa |
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Description: 用matlab编写的线性插值，最近邻域插值，和双三次样条插值。-using Matlab prepared by the linear interpolation, the recent neighborhood interpolation and bicubic spline interpolation. Platform: |
Size: 18432 |
Author:周萍 |
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Description: 利用MATLAB解决偏微分方程中的一些问题,如插值求解-Partial Differential Equations using MATLAB to solve some problems, such as interpolation to solve Platform: |
Size: 1024 |
Author:形成 |
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Description: 利用MATLAB解决偏微分方程中的一些问题,如插值求解-Partial Differential Equations using MATLAB to solve some problems, such as interpolation to solve Platform: |
Size: 4096 |
Author:形成 |
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Description: 基于梳状导频的OFDM信道估计程序。
该程序用matlab仿真了基于梳状导频序列的OFDM信道估计，内插采用了线性内插法。-Comb-based pilot of the OFDM channel estimation procedures. Matlab simulation using the program based on the comb-like sequence of OFDM pilot channel estimation, interpolation using a linear interpolation. Platform: |
Size: 3072 |
Author:季炜 |
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Description: Numerical Methods Using Matlab (4th Edition),John H. Mathews (Author), Kurtis K. Fink (Author).This book provides a fundamental introduction to numerical analysis. This book covers numerous topics including Interpolation and Polynomial Approximation, Curve Fitting, Numerical Differentiation, Numerical Integration, and Numerical Optimization. For engineering and computer science fields. Platform: |
Size: 21381120 |
Author:wenhs |
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Description: 基于matlab的数值计算方法教材（第四版），其中介绍了插值法等数值计算中的常用方法。-The book named Numerical Methods Using Matlab (Fourth Edition) explain some common methods used in numerical computation, such as interpolation method. Platform: |
Size: 3004416 |
Author:唐艺充 |
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Description: Wilson H.B., Turcotte L.H., Halpern D. Advanced Mathematics and Mechanics Applications Using MATLAB
3. Linear Algebra.
4. Differentiation and numerical interpolation
5. gaussian integration
6. Fourier series and FFT
7. Dynamic response of second order systems
8. Integration of nonlinnear initial value problems.
9. Boundary value problems
10. Eigenvalue problems.
11. Bending analysis of beams
12. Application of analytic functions
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Size: 4921861 |
Author:diego_velasquez |
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Description: van Loan Ch. Introduction to Scientific Computing. A Matrix-Vector Approach Using MATLAB (Prentice Hall,1997)(en)(347s)
1. Introduction
2. Linear interpolation
3. Piecewise linear interpolation
4. numerical integration
5. matrix computations
6. linear systems
7. the QR and Cholesky factorizations
8. Nonlinear equation and factorization
9. Initial value problems
Matlab scripts included. Platform: |
Size: 3110477 |
Author:diego_velasquez |
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Search - interpolation using matlab