Lagrangian Interpolation

Slides:



Advertisements
Similar presentations
5/1/ Finite Difference Method Civil Engineering Majors Authors: Autar Kaw, Charlie Barker
Advertisements

Newton’s Divided Difference Polynomial Method of Interpolation
1 Direct Method of Interpolation Electrical Engineering Majors Authors: Autar Kaw, Jai Paul
Differentiation-Discrete Functions
5/19/ Runge 4 th Order Method Mechanical Engineering Majors Authors: Autar Kaw, Charlie Barker
Direct Method of Interpolation
7/2/ Differentiation-Discrete Functions Industrial Engineering Majors Authors: Autar Kaw, Sri Harsha Garapati.
7/2/ Backward Divided Difference Major: All Engineering Majors Authors: Autar Kaw, Sri Harsha Garapati
8/8/ Euler Method Major: All Engineering Majors Authors: Autar Kaw, Charlie Barker
8/15/ Differentiation-Discrete Functions Major: All Engineering Majors Authors: Autar Kaw, Sri Harsha Garapati.
8/15/ Binary Representation Major: All Engineering Majors Authors: Autar Kaw, Matthew Emmons
9/14/ Trapezoidal Rule of Integration Major: All Engineering Majors Authors: Autar Kaw, Charlie Barker
1 Spline Interpolation Method Computer Engineering Majors Authors: Autar Kaw, Jai Paul
9/22/ Runge 2 nd Order Method Major: All Engineering Majors Authors: Autar Kaw, Charlie Barker
10/8/ Propagation of Errors Major: All Engineering Majors Authors: Autar Kaw, Matthew Emmons
10/11/ Differentiation-Discrete Functions Chemical Engineering Majors Authors: Autar Kaw, Sri Harsha Garapati.
1 Lagrangian Interpolation Major: All Engineering Majors Authors: Autar Kaw, Jai Paul
1 Newton’s Divided Difference Polynomial Method of Interpolation Chemical Engineering Majors Authors: Autar Kaw, Jai.
1 Newton’s Divided Difference Polynomial Method of Interpolation Major: All Engineering Majors Authors: Autar Kaw,
5/30/ Runge 4 th Order Method Chemical Engineering Majors Authors: Autar Kaw, Charlie Barker
11/17/ Shooting Method Major: All Engineering Majors Authors: Autar Kaw, Charlie Barker
12/1/ Trapezoidal Rule of Integration Civil Engineering Majors Authors: Autar Kaw, Charlie Barker
1 Lagrangian Interpolation Computer Engineering Majors Authors: Autar Kaw, Jai Paul
1 Direct Method of Interpolation Major: All Engineering Majors Authors: Autar Kaw, Jai Paul
1/16/ Runge 4 th Order Method Civil Engineering Majors Authors: Autar Kaw, Charlie Barker
1/19/ Runge 4 th Order Method Major: All Engineering Majors Authors: Autar Kaw, Charlie Barker
1 Direct Method of Interpolation Computer Engineering Majors Authors: Autar Kaw, Jai Paul
1 Direct Method of Interpolation Mechanical Engineering Majors Authors: Autar Kaw, Jai Paul
2/28/ Runge 4 th Order Method Computer Engineering Majors Authors: Autar Kaw, Charlie Barker
1 Spline Interpolation Method Major: All Engineering Majors Authors: Autar Kaw, Jai Paul
1 Newton’s Divided Difference Polynomial Method of Interpolation Mechanical Engineering Majors Authors: Autar Kaw,
1 Spline Interpolation Method Mechanical Engineering Majors Authors: Autar Kaw, Jai Paul
Trapezoidal Rule of Integration
Civil Engineering Majors Authors: Autar Kaw, Charlie Barker
Computer Engineering Majors Authors: Autar Kaw, Charlie Barker
Differentiation-Discrete Functions
Differentiation-Discrete Functions
Newton’s Divided Difference Polynomial Method of Interpolation
Spline Interpolation Method
Civil Engineering Majors Authors: Autar Kaw, Charlie Barker
Spline Interpolation Method
Mechanical Engineering Majors Authors: Autar Kaw, Charlie Barker
Chemical Engineering Majors Authors: Autar Kaw, Charlie Barker
Spline Interpolation Method
Spline Interpolation Method
Direct Method of Interpolation
Spline Interpolation Method
Lagrangian Interpolation
Civil Engineering Majors Authors: Autar Kaw, Charlie Barker
Newton’s Divided Difference Polynomial Method of Interpolation
Trapezoidal Rule of Integration
Trapezoidal Rule of Integration
Spline Interpolation Method
Lagrangian Interpolation
Binary Representation
Industrial Engineering Majors Authors: Autar Kaw, Charlie Barker
Direct Method of Interpolation
Simpson’s 1/3rd Rule of Integration
Binary Representation
Newton’s Divided Difference Polynomial Method of Interpolation
Binary Representation
Lagrangian Interpolation
Lagrangian Interpolation
Simpson’s 1/3rd Rule of Integration
Electrical Engineering Majors Authors: Autar Kaw, Charlie Barker
Spline Interpolation Method
Chemical Engineering Majors Authors: Autar Kaw, Charlie Barker
Differentiation-Discrete Functions
Newton’s Divided Difference Polynomial Method of Interpolation
Lagrangian Interpolation
Presentation transcript:

Lagrangian Interpolation Civil Engineering Majors Authors: Autar Kaw, Jai Paul http://numericalmethods.eng.usf.edu Transforming Numerical Methods Education for STEM Undergraduates http://numericalmethods.eng.usf.edu

Lagrange Method of Interpolation http://numericalmethods.eng.usf.edu

What is Interpolation ? Given (x0,y0), (x1,y1), …… (xn,yn), find the value of ‘y’ at a value of ‘x’ that is not given. http://numericalmethods.eng.usf.edu

Interpolants Evaluate Differentiate, and Integrate. Polynomials are the most common choice of interpolants because they are easy to: Evaluate Differentiate, and Integrate. http://numericalmethods.eng.usf.edu

Lagrangian Interpolation http://numericalmethods.eng.usf.edu

Example To maximize a catch of bass in a lake, it is suggested to throw the line to the depth of the thermocline. The characteristic feature of this area is the sudden change in temperature. We are given the temperature vs. depth plot for a lake. Determine the value of the temperature at z = −7.5 using the Lagragian method for linear interpolation. Temperature vs. depth of a lake http://numericalmethods.eng.usf.edu

Linear Interpolation http://numericalmethods.eng.usf.edu

Linear Interpolation (contd) http://numericalmethods.eng.usf.edu

Quadratic Interpolation http://numericalmethods.eng.usf.edu

Example To maximize a catch of bass in a lake, it is suggested to throw the line to the depth of the thermocline. The characteristic feature of this area is the sudden change in temperature. We are given the temperature vs. depth plot for a lake. Determine the value of the temperature at z = −7.5 using the Lagragian method for quadratic interpolation. Temperature vs. depth of a lake http://numericalmethods.eng.usf.edu

Quadratic Interpolation (contd) http://numericalmethods.eng.usf.edu

Quadratic Interpolation (contd) http://numericalmethods.eng.usf.edu

Cubic Interpolation http://numericalmethods.eng.usf.edu

Example To maximize a catch of bass in a lake, it is suggested to throw the line to the depth of the thermocline. The characteristic feature of this area is the sudden change in temperature. We are given the temperature vs. depth plot for a lake. Determine the value of the temperature at z = −7.5 using the Lagragian method for cubic interpolation. Temperature vs. depth of a lake http://numericalmethods.eng.usf.edu

Cubic Interpolation (contd) http://numericalmethods.eng.usf.edu

Cubic Interpolation (contd) http://numericalmethods.eng.usf.edu

Comparison Table http://numericalmethods.eng.usf.edu

Thermocline What is the value of depth at which the thermocline exists? The position where the thermocline exists is given where Simply setting this expression equal to zero, we get http://numericalmethods.eng.usf.edu

Additional Resources For all resources on this topic such as digital audiovisual lectures, primers, textbook chapters, multiple-choice tests, worksheets in MATLAB, MATHEMATICA, MathCad and MAPLE, blogs, related physical problems, please visit http://numericalmethods.eng.usf.edu/topics/lagrange_method.html

THE END http://numericalmethods.eng.usf.edu