Dr. Robert A. Canfield is Professor and Assistant Head of the Aerospace and Ocean Engineering Department at Virginia Tech.

Professional Interests: Multidisciplinary Design Optimization, computational methods

Submitted

slp_sqp

Sequential Linear Programming (SLP) with Trust Region (TR) and Sequential Quadratic Programming (SQP) with Line Search or TR Str...

circa 2 mesi ago | 34 downloads |

Submitted

central_diff.m

Calculates numeric gradient using second-order difference formula for unevenly spaced data

circa 5 anni ago | 29 downloads |

Answered

How to read NASTRAN results in MATLAB and run NASTRAN back using MATLAB ??

Anthony Ricciardi's Nastran Compatible Finite Element (CoFE) MATLAB code may be of some help: <http://nastrancofe.weebly.com CoF...

How to read NASTRAN results in MATLAB and run NASTRAN back using MATLAB ??

Anthony Ricciardi's Nastran Compatible Finite Element (CoFE) MATLAB code may be of some help: <http://nastrancofe.weebly.com CoF...

oltre 5 anni ago | 0

Solved

Fixed-Point Iteration

Perform fixed-point iteration to estimate the root of a nonlinear equation.

circa 7 anni ago

Problem

Fixed-Point Iteration

Perform fixed-point iteration to estimate the root of a nonlinear equation.

circa 7 anni ago | 1 | 14 solvers

Problem

Free Fall analytical solution (Chapra 2012 textbook Example 1.1)

Analytical solution to bungee jumper problem. Given time series as a vector, parameters mass and drag coefficient, and gravit...

oltre 7 anni ago | 0 | 14 solvers

Solved

Free Fall analytical solution (Chapra 2012 textbook Example 1.1)

Analytical solution to bungee jumper problem. Given time series as a vector, parameters mass and drag coefficient, and gravit...

oltre 7 anni ago

Solved

Make the vector [1 2 3 4 5 6 7 8 9 10]

In MATLAB, you create a vector by enclosing the elements in square brackets like so: x = [1 2 3 4] Commas are optional, s...

oltre 7 anni ago

Problem

Composite Trapezoidal Rule for Numeric Integration

Use the trapezoidal rule to numerically integrate a function, _f(x)_, passed as the first argument, between upper and lower limi...

circa 8 anni ago | 1 | 26 solvers

Solved

Composite Trapezoidal Rule for Numeric Integration

Use the trapezoidal rule to numerically integrate a function, _f(x)_, passed as the first argument, between upper and lower limi...

circa 8 anni ago

Solved

Lagrange Interpolation

Given a set of measurements of dependent variables in a vector, Y, that vary with one independent variable in a vector, X, calcu...

circa 8 anni ago

Problem

Lagrange Interpolation

Given a set of measurements of dependent variables in a vector, Y, that vary with one independent variable in a vector, X, calcu...

circa 8 anni ago | 1 | 10 solvers

Problem

Polynomial Interpolation

Given a set of measurements of dependent variables in a vector, Y, that vary with one independent variable in a vector, X, calcu...

circa 8 anni ago | 1 | 13 solvers

Solved

Polynomial Interpolation

Given a set of measurements of dependent variables in a vector, Y, that vary with one independent variable in a vector, X, calcu...

circa 8 anni ago

Problem

Newton Interpolation

Given a set of measurements of dependent variables in a vector, Y, that vary with one independent variable in a vector, X, calcu...

circa 8 anni ago | 2 | 10 solvers

Solved

Newton Interpolation

Given a set of measurements of dependent variables in a vector, Y, that vary with one independent variable in a vector, X, calcu...

circa 8 anni ago

Solved

Gauss Eliminate 2-by-2 example

Use forward elimination to make the coefficient matrix, A, an upper triangular matrix, and then solve using back substitution, f...

circa 8 anni ago

Problem

Gauss Eliminate 2-by-2 example

Use forward elimination to make the coefficient matrix, A, an upper triangular matrix, and then solve using back substitution, f...

circa 8 anni ago | 0 | 121 solvers

Solved

Forward Elimination for Gauss Elimination

Perform forward elimination for a given pivot column in the augmented matrix, Ab=[A,b]

circa 8 anni ago

Problem

Forward Elimination for Gauss Elimination

Perform forward elimination for a given pivot column in the augmented matrix, Ab=[A,b]

circa 8 anni ago | 1 | 22 solvers

Problem

Partial pivoting for Gauss Elimination

Write a function to implement partial pivoting for Gauss elimination, given the pivot element.

circa 8 anni ago | 0 | 6 solvers

Solved

Partial pivoting for Gauss Elimination

Write a function to implement partial pivoting for Gauss elimination, given the pivot element.

circa 8 anni ago

Problem

Bisection method of finding a root.

Test the bisection algorithm described in Chapter 5 of Steven C. Chapra's textbook, *Applied Numerical Methods with MATLAB for E...

circa 8 anni ago | 1 | 16 solvers

Solved

Bisection method of finding a root.

Test the bisection algorithm described in Chapter 5 of Steven C. Chapra's textbook, *Applied Numerical Methods with MATLAB for E...

circa 8 anni ago

Problem

False position (linear interpolation) method of finding a root.

Test the false position algorithm described in Chapter 5 of Steven C. Chapra's textbook, *Applied Numerical Methods with MATLAB ...

circa 8 anni ago | 1 | 13 solvers

Solved

False position (linear interpolation) method of finding a root.

Test the false position algorithm described in Chapter 5 of Steven C. Chapra's textbook, *Applied Numerical Methods with MATLAB ...

circa 8 anni ago

Answered

Missing Statistics Toolbox

I had this problem, too, on a _Mac OS X_ computer. I tracked it to the _pathdef.m_ file in the _~/Documents/MATLAB_ folder. Remo...

Missing Statistics Toolbox

I had this problem, too, on a _Mac OS X_ computer. I tracked it to the _pathdef.m_ file in the _~/Documents/MATLAB_ folder. Remo...

oltre 8 anni ago | 1

| accepted

Problem

Augmented Lagrange Multiplier (ALM) Method

Write a function to find the values of a design variable vector, _x_, that minimizes a scalar objective function, _f_ ( _x_ ), g...

oltre 8 anni ago | 0 | 6 solvers

Solved

Augmented Lagrange Multiplier (ALM) Method

Write a function to find the values of a design variable vector, _x_, that minimizes a scalar objective function, _f_ ( _x_ ), g...

oltre 8 anni ago