1,962 results

Script for Newton's Interpolation formula.

Script for Newton's Interpolationnewton_interpolation(x, y, p)x and y are two Row Matrices and p is point of interpolationExample>> x=[1,2,4,7,8]>> y=[-9,-41,-189,9,523]>&gt

GUI Numerical Solver including curve fitting, root finding and linear system solver using most of the popular methods.

Numerical Solver includes the following :- Roots Finding -> Bisection -> False-Position -> Simple Fixed Point -> Newton-Raphson Method (Multivariable

This function finds the coefficients for Newton interpolation polynomial

% [b0 b1 b2...] = NewtonInterpolation(x,y) where vector [b0 b1 b2...] is% the coefficients of Newton interpolation polynomial:% % N(x) = b0+b1(x-x0)+b2(x-x0)(x-x1)+...% % Note that both x, y

Matlab codes for Newton's Forward Interpolation.

Newton Backward interpolation

Code for Newton Backward interpolation::::: Newton Backward interpolation ::::::Enter x : [0.01 0.02 0.03 0.04 0.05]Enter y : [98.434 48.439 31.778 23.449 18.454]Enter point to consider : 0.045F =

Interpolation by Newton Forward

This is code for Newton forward interpolation::::: Newton Forward interpolation ::::::Enter x : [75 80 85 90]Enter y : [246 202 118 40]Enter point to consider : 79F = 246 0 0 0 202

Interpolates a scalar or vector yp = f(xp) with given x and y = f(x) vectors and xp query

Newton's Polynomial Interpolation based on Taylor's Series and finite differences.Example data:x = [1 4 6 5]; % x vectory = log(x); % y = f(x) vectorxp = 2 or xp = [2 3]; % x point(s) (scalar or

Matlab codes for Newton’s Divided Difference Interpolation

newton2poly generates the polynomial formula given newton interpolation coefficients and x-coordinate interpolation nodes.

newton2poly generates the polynomial formula given newton interpolation coefficients and x-coordinate interpolation nodes as:p(x) = c(1) + c(2)*(x-nodes(1)) + c(3)*(x-nodes(1))*(x-nodes(2))...INPUT:c

Matlab codes for numerical Interpolations: Newton’s Forward, Newton’s Backward, Divide difference, Lagrange’s Interpolation. Video lecture.

symbolic equation of all interpolation method include lagrange ,newton ,forward and backward.

this file include all interpolation method :lagrange method newton method forward_differences backward_differencesyou can find the polynomial equation and the solutions of each of them easily .

3D interpolation using modified 4-point vector Newton interpolation

Syntax: ui=NewtFit(x,y,z,u,xi,yi,zi)3D interpolation. It may be used where griddata3 fails to find a triangularization of the datagrid (x,y,z). The function uses a modified 4 point Newton

Creates Toeplitz-like matrices representing interpolation operations with edge conditions.

The main file interpMatrix.m in this package creates a sparse Toeplitz-like matrix representing a regularly-spaced interpolation operation between a set of control points. The user can specify the

Matlab codes for Newton's Backward Interpolation.

Interpolate and Differentiate numerical datasets by generating a function for equal interval using Newton Forward/Backward & Sterling Method

program utilizes Newton's Forward/Backward Difference and Stirling's method for this purpose, which requires that the interval of the independent variable remains consistent across the dataset.Here's a

Distance based interpolation along a general curve in space

spaced, others not so close, and they wish to create a new set which is uniformly spaced along the same curve.When the interpolation is assumed to be piecewise linear, this is easy. However, if the curve

Performs linear interpolation with a speed acceleration of (up to) 4x.

F = lininterp1f(X,Y,XI,Ydefault) returns the value of the 1-D function Y at the points XI using linear interpolation. Length(F)=length(XI). The vector X specifies the coordinates of the underlying

Performs nearest-neighbor or linear interpolation much faster than interp1 when an evenly-spaced lib

This function performs interpolation faster than MATLAB's "interp1" function. In the limit of small library and search arrays, it is ~5x faster. In the limit of large library arrays, qinterp1 has a

Newton-Raphson is a root-finding algorithm which produces successively better approximations to the roots of a real-valued function.

The Newton-Raphson method (also known as Newton's method) is a way to quickly find a good approximation for the root of a real-valued function f(x)=0. It uses the idea that a continuous and

Code Help Students

practical and educational - simpleReference:https://www.mathworks.com/matlabcentral/fileexchange/7405-newton-s-interpolation?focused=5061850&tab=function

The Lagrange interpolation The Newton's Divided Difference Interpolation

These matlab m files are used to calculate bus voltages and angles using Newton Raphson iterative me

These matlab m files are used to calculate bus voltages and angles, power flows using Newton Raphson iterative method

The function returns Hermite interpolation polynomomial from given data.

and function values are given, the polynomial is similar to Newton interpolation polynomial.

Newton's method for finding zeros of a function.

Newton's method for finding successively better approximations to the zeroes of a real-valued function.

The Script Provides a demonstration of the "Newton - Raphson Method" , to solve various polynomial and transcendental equations

"The Newton - Raphson Method" uses one initial approximation to solve a given equation y = f(x).In this method the function f(x) , is approximated by a tangent line, whose equation is found from the

Lagrange polynomial interpolation

Approx a point-defined function using Lagrange polinomial interpolation method

A variety of 1-D interpolation utilities

This zip file contains functions related to 1-D interpolation:1) analyticint.m performs piecewise analytic interpolation2) baryinv.m performs barycentric interpolation with inverse distance

Uses Newton's method to calculate a root to a polynomial function.

Calculates the root to a polynomial function using Newton's method. The root at each iteration is plotted against the graph of the original function. Feel free to try different functions (plotting

newton_interpolation.m provides a simple tool for interpolating any function.

It gets any equation and the degree of the its interpolating polynomial as well as the interpolation interval and returns the symbolic newton form of the polynomial. For educational purposes, the

Quickly finds local maxima (peaks) or minima (valleys) in a noisy signal.

Obtains an interpolating polynomial for the form of Newton

Dynamic program with good user-machine communication, allows inverse and direct interpolations and displays an interpolated polynomial over any number of points.

Newton-Raphson method for all real roots of the polynomial.

Much faster version of the interp functions, but ONLY for LINEAR interpolation

Lagrange interpolation

Solves a non-linear system with iterative Newton-Raphson. Very easy and powerfull!!

Performs N-D FFT interpolation with upsampling, downsampling, or mixed up- and downsampling

Performs N-D FFT interpolation on any data for which fftn works. Will upsample by zero-filling, downsample by truncating high frequencies, or combine both up- and downsampling by dimension to allow

Newton's Method for Divided Differences.

Newton's Method for Divided Differences.The following formula is solved:Pn(x) = f(x0) + f[x0,x1](x-x0) + f[x0,x1,x2](x-x0)(x-x1) + ... + f[x0,x1,..,xn](x-x0)(x-x1)..(x-x[n-1])Where:f[x0,x1] =

Set of functions that can be used for interpolation and and approximation of scattered data of any d

Radial base functions (RBF) can be used for interpolation and and approximation of scattered data i.e. data is not required to be on any regular grid. The same function can handle data interpolation

Read sif files generated by an Andor Newton camera into matlab.

to modify his code to be able to read in sif files generated with our setup (Andor Newton EMCCD + Solis 4.16). This package also contains an important adjustment to Leutenagger's. We found

Function for generating Newton fractal.

Very simple function that can generate 12 different type of Newton fractal. newtonFractalRGB.m can generate RGB images.

The function returns the solution of three equations in three variables using the Newton-Raphson method.

The function returns the solution of three equations in three variables using the Newton-Raphson method. The inputs are symbolic functions, initial guesses and number of iterations.Here's an

To demonstrate grid generation using Transfinite Interpolation

is by interpolation. Grid generation based on interpolation has two basic advantages;rapid computation of grids anddirect control over grid point locationsThese advantages are offset by the fact that

Quadratic Interpolation Optimization (QIO): a new mathematics-based metaheuristic algorithm for global optimization

Quadratic Interpolation Optimization (QIO) is a new optimization approach for solving optimization problems. QIO is motivated derived from mathematics, specifically the newly proposed generalized

Computes Newton's table for Divided Differences and the coefficients of the associated polynomial function for a given dataset (X,Y).

capability of directly outputting the coefficients of the associated polynomial. So that the polynomial can be evaluated to produce interpolations/extrapolations directly with Matlab's 'polyval' function.Happy

Yet another solver that uses the backslash function to solve a set of non-linear equations

Although this is the most basic non-linear solver, it is surprisingly powerful. It is based on the Newton-Raphson method in chapter 9.6-7 of Numerical Recipes in C. In general for well behaved

Provides a 5x-50x speedup over interp2

This function performs 2-dimensional interpolation similar to MATLAB's built-in function interp2 with a considerable speed advantage.qinterp2 may only be used with evenly-spaced, monotonically

Newton Raphson Method Example

Robust Newton Raphson Method example, This can be changed to fit most forms.

PERIODICAL PIECEWISE CUBIC HERMITE INTERPOLATING POLYNOMIAL: THE FUNCTIONS PERPCHIP AND PERSPLINE

Newton method for non-linear system of 2 variables (also solves linear system)

This program calculates the roots of a system of non-linear equations in 2 variables. This a script file and you only have to write in the command windows ">>newton2v2", and the program ask

A simple Matlab Code for Newton Raphson Method

A simple Matlab code for solving newton Raphson method numerically.

Computes the zero Laplacian interpolation matrix

See also MESH_LAPLACIAN function on matlab central file exchange.MESH_LAPLACIAN_INTERP: Computes the zero Laplacian interpolation matrix Useage: [int, keepindex, repindex] =

Fast linear interpolation of equally spaced data (C-MEX and M)

ScaleTime - fast linear matrix interpolation Yi = ScaleTime(Y, T)Where T is a vector with values between 1 and size(Y,1). This is equivalent to Yi = interp1(1:size(Y, 1), Y, T, 'linear')If T is

Fast 2D linear interpolation of scalar of vector valued 2D images.

INTERP2(Z(:,:,3),XI,YI); The extra speed gain is from the precomputation of coefficients for interpolation, which are the same for all images. Interpolation of a set of images is useful, e.g. for image registration, when

Newton Raphson Method for any number of variables and any number of equations

Two methods are provided - 1) an automatic updation method which can be effectively used outside of a loop since it writes out a newton-raphson computation file from the parameters received.2) a

Time-domain SINC resampling (interpolation) function with a simple example

A robust interpolation function using a SINC kernel to convolve the original input time series in order to get resampled time series. A simple example is provided in comment section to illustrate how

Root Finding Method (Newton Raphson)

Matlab codes for Newton Raphson method. The details of the method and also codes are available in the video lecture given in the description

MATLAB Code for Fast Linear Interpolation

MATLAB Code for Fast Linear InterpolationThe MATLAB code offers fast 1D linear interpolation methods.The following fast interpolation methods is implemented:Linear interpolation inside the domain

Head-related transfer function (HRTF) interpolation in azimuth, elevation, and distance

Matlab demonstration of an algorithm for interpolating distance-dependent (near-field) head-related transfer functions (HRTFs).The interpolation is performed using barycentric weights of 4 HRTF

Image Shrinking using Bilinear Interpolation

The code shrinks the image using bilinear interpolation. The shrinking factor can be modified to get the desired shrink.