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function p_min=bisection(func,int,iter,tol_x,tol_f) It calculates the zero of a regular real function with one variable. p_min is the solution and represents the abscissa's value of the zero. The input variables are: -func: it's a string that represents the function in the variable 'x'. -int: it's a vector with two elements. The first is the minor bound, the second is the greater bound. -iter: it's the max number of iteration. -tol_x: it's the tolerance on the successive steps. -tol_f: it's the tolerance on the successive function's values.

• Platform: Scripts, Matlab
• Publisher: Andrea Cirillo
• Date: 09-05-2013
• Size: 10 KB

For a given function as a string, lower and upper bounds, number of iterations and tolerance Bisection Method is computed..

• Platform: Scripts, Matlab
• Publisher: T. R
• Date: 22-01-2013
• Size: 10 KB

x = BISECTION(f,LB,UB,target,tol) finds array x +/- tol (LB < x < UB) such that f(x) = target array. This function is meant for use in finding roots of monotonic vectorized functions very quickly for situations where many function calls must be used. It is designed to be simple, not robust, but has useful applications where it will much more quickly find the roots of a function than FZERO, which is more robust and has more features. Example: x = bisection(@(x) x.^3, -10, 10, [(-100 : 10 : 100)' (-1000 : 100 : 1000)'], 1e-12).

• Platform: Scripts, Matlab
• Publisher: Sky Sartorius
• Date: 09-01-2013
• Size: 10 KB

This being a very basic program for the demonstration of bubble and dew point calculations of a ideal binary VLE mixture obeying Raoult's. The basic purpose of this program is to demonstrate VLE P-T-x-y calculations of a ideal binary mixture and to get related data in graphical form for any such a system. It uses Raoult's law for the VLE calculations, the Antoine equation for the calculation of pure component vapour pressures at different temperatures and the Dalton's law for the calculation of total pressure of the vapor in equilibrium with the liquid.

• Platform: Scripts, Matlab
• Publisher: Suhas B. Ghugare
• Date: 03-03-2013
• Size: 61 KB

Computes the root of a continuous function f in the interval [a,b] by bisectioning. For this algorithm the function values of endpoints must differ in sign. Usage: [c,fc,err] = bisection(f,a,b,delta) Input arguments: f function a left endpoint b right endpoint delta error tolerance Output arguments: c solution Optional Output arguments: fc function value of solution err error estimate.

The code implements the shooting method by means of the Runge-Kutta method of 4th order and the interval bisection method. There is the graphical interface too. When the differential equation is inserted in terms of the standard mathematical notation (no in MATLAB code), the programme create the fun.m file with the description of equation and start the shooting method. All parameters are inserted in GUI too. Thus, you can solve the boundary value problem of 2nd order without any programming. The GUI is started by command "shootingGUI".

• Platform: Scripts, Matlab
• Publisher: Martin V
• Date: 17-04-2013
• Size: 20 KB

Numerical analysis functions that employ the Bisection, Fixed-point, Newton-Raphson, and Muller's methods. Each returns a root for a given function, and optionally a iteration table. *** Symbolic Toolbox is NOT REQUIRED ***.

• Platform: Scripts, Matlab
• Publisher: Jonathan Lister
• Date: 06-01-2013
• Size: 10 KB

Add refined numerical procedures to either construct a function of one or two variables from a set of points (i.e. interpolate), or solve an equation of one variable; to your .NET, COM, and XML Web service Applications. The interpolation procedures provided include Newton polynomials, Lagrange's formula, Burlisch-Stoer algorithm, Cubic splines (natural and free), Bicubic interpolation and procedures for find the interpolation functions coefficients. In order to solve an equation we provide the Van Wijngaarden-Dekker-Brent algorithm, interval bisection method, secant and false position, Newton-Raphson method and Ridders' method.

EJB Component Suite offering refined numerical procedures to either construct a function of one or two variables from a set of points (i.e. interpolate), or solve an equation of one variable. The interpolation procedures provided include Newton polynomials, Lagrange's formula, Burlisch-Stoer algorithm, Cubic splines (natural and free), Bicubic interpolation and procedures for find the interpolation functions coefficients. In order to solve an equation we provide the Van Wijngaarden-Dekker-Brent algorithm, interval bisection method, secant and false position, Newton-Raphson method and Ridders' method.

• Platform: Windows, Unix, Linux, Mac
• Publisher: WebCab Components
• Date: 04-10-2004
• Size: 6728 KB

Java API Components offering refined numerical procedures to either construct a function of one or two variables from a set of points (i.e. interpolate), or solve an equation of one variable. The interpolation procedures provided include Newton polynomials, Lagrange's formula, Burlisch-Stoer algorithm, Cubic splines (natural and free), Bicubic interpolation and procedures for find the interpolation functions coefficients. In order to solve an equation we provide the Van Wijngaarden-Dekker-Brent algorithm, interval bisection method, secant and false position, Newton-Raphson method and Ridders' method.

• Platform: Windows, Unix, Linux, Mac
• Publisher: WebCab Components
• Date: 04-10-2004
• Size: 5080 KB

Add refined numerical procedures to either construct a function of one or two variables from a set of points (i.e. interpolate), or solve an equation of one variable; to your .NET, COM, and XML Web service Applications. The interpolation procedures provided include Newton polynomials, Lagrange's formula, Burlisch-Stoer algorithm, Cubic splines (natural and free), Bicubic interpolation and procedures for find the interpolation functions coefficients. In order to solve an equation we provide the Van Wijngaarden-Dekker-Brent algorithm, interval bisection method, secant and false position, Newton-Raphson method and Ridders' method.

Are you having difficulty understanding how to do option pricing modesl and numerical procedures within Excel? Do you want to see practical examples? The Numerical Searching Methods and Option Pricing Set solves these problems. It contains practical and well explained examples of: 1. Numerical Searching Method - Newton-Ralphson 2. Numerical Searching Method - Secant Method 3. Implied Standard Deviation For Black/Scholes Call - Newton Approach 4. Implied Standard Deviation For Black/Scholes Call - Secant Approach 5.

GizmoWinDraw is an application designed to be a vector graphics solution GizmoWinDraw is an application designed to be a vector graphics solution.Aside the fact it's a no cost application, it's interest not only come from the fact that the graphic objects are constitued of elements (points, segments, circles, ellipses and curves) which are easely modified with precision, but also from possibility to perform some operations with these elements such as intersections, bisection, link a segment with text or picture and many others features.

• Platform: Windows
• Publisher: jmbuzzi.free.fr
• Date: 24-08-2009
• Size: 20172 KB

A real-time generalized financial derivatives calculator supporting over 136+ theoretical models from open source libraries. Matrices of prices are created with iterating strikes and/or months. A strike control system can produce any strike. A generalized date engine can calculate re-occuring distances to any industry used expiration into the future. Spread engine with spread views. Timing is accurate to one second and pricing is re-calculated every second. 9 choices for computing the cumulative normal distribution.

Given a continuous-time system with parameters, can we find the range (or intervals) of the parameters where the system is stable? When the system model is written with the Laplacian transform, the question is equivalent to finding all the roots of a parameterized polynomial where the real parts of the roots are negative. Via orthant-based, sign-definite decomposition a set of "vertex polynomials" are created whereby such a test of stability can occur. Through iterative bisection of the parameter space, the region of stable parameters of the dynamic system can be constructed and viewed.

• Platform: Scripts, Matlab
• Publisher: Michael Knap
• Date: 23-02-2013
• Size: 1475 KB

Given element and nodal data, this routine can be used to refine the selected elements. Only 4-node tetrahedron elements are allowed. During the refinement, only the edge which is the longest one of all the elements that share it will be cut, otherwise, recursive search will be performed in surrounding elements until such refinement can be performed. % [ix, nix, x, nx, u, r] = recr_bisc_tet4( id, ix, nix, x, nx, u, r) % ------------------------------------------------------------------ % Recursively bisect the longest edge of targeted elements % WZ.

• Platform: Scripts, Matlab
• Publisher: Wenzhe Shan
• Date: 13-02-2013
• Size: 10 KB

This is a MATLAB/C++ code for solving PDEs that are discretized by a finite element method on unstructured grids. It automates assembly of a variety of FEM matrices using a straightforward syntax and automatic code generation. The resultant matrices can be manipulated by MATLAB for ease in solving a PDE on a triangular (or tetrahedral) mesh. For example, you can solve Laplace-Beltrami on a 2-D surface in 3-D. You can do higher order geometry (i.e. iso-parametric mappings). You can assemble matrices (bilinear and linear forms) on 1-D curves embedded in a 2-D mesh.

• Platform: Scripts, Matlab
• Publisher: Shawn Walker
• Date: 04-01-2013
• Size: 2079 KB

Performs hierarchical clustering of data using specified method and seraches for optimal cutoff empoying VIF criterion suggested in "Okada Y. et al - Detection of Cluster Boundary in Microarray Data by Reference to MIPS Functional Catalogue Database (2001)". Namely, it searches cutoff where groups are independent. The techinque uses an econometric approach of verifying that variables in multiple regression are linearly independent: if all the diagonal elements of inverse correlation matrix of data are less than VIF (as rule of thumb VIF=10).

• Platform: Scripts, Matlab
• Publisher: Denis
• Date: 23-06-2013
• Size: 10 KB

Chapter 4 Nonlinear Equations 4.1 Iterative Method toward Fixed Point 4.2 Bisection Method 4.3 False Position OR Regula Falsi Method 4.4 Newton(-Raphson) Method 4.5 Secant Method 4.6 Newton Method for a System of Nonlinear Equations 4.7 Symbolic Solution for Equations 4.8 A Real-World Problem.

• Platform: Scripts, Matlab
• Publisher: Won Yang
• Date: 10-02-2013
• Size: 451 KB

OPTPLOT finds a nearly optimal number of points between given x-limits at which a real scalar function f(x) has to be calculated so that the plot of this function has a nearly uniform accuracy on the screen, specified by a parameter TOL, and either plots the graph or returns the calculated points for use with PLOT. It uses an auxiliary function that bisects x-intervals recursively until the perpendiculars from each point to the line joining its two neighbouring points are less than TOL pixels on a full screen.

• Platform: Scripts, Matlab
• Publisher: Jim Ward
• Date: 04-03-2013
• Size: 10 KB
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