- CALCULUS II, MATH 022 Instructor: Dr. T.I. Lakoba Strategy of testing a series for convergence
- CALCULUS II, MATH 022.Z1 Instructor: Dr. T.I. Lakoba Preparation sheet for Test 2
- A generalized Petviashvili iteration method for scalar and vector Hamiltonian equations with
- Accelerated Imaginary-time Evolution Methods for the Computation of Solitary Waves
- Publications of T. Lakoba 1 Publication List of Taras I. Lakoba
- Polarization-mode dispersion of a circulating loop T. I. Lakoba
- MATH 022.Z1 Calculus II / Summer 2010 (Session 1) Textbook: Calculus (Early transcendentals), by J. Stewart, 6th Ed.
- JOURNAL OF LIGHTWAVE TECHNOLOGY, VOL. 23, NO. 9, SEPTEMBER 2005 2647 Transmission Improvement in Ultralong
- CALCULUS II, MATH 022.Z1 Instructor: Dr. T.I. Lakoba Preparation sheet for Test 3
- Conjugate Gradient Method for finding fundamental solitary waves
- JOURNAL OF LIGHTWAVE TECHNOLOGY, VOL. 27, NO. 10, MAY 15, 2009 1379 BER Degradation by Signal-Reshaping Processors
- A comparative study of noisy signal evolution in 2R all-optical regenerators
- IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS, VOL. 14, NO. 3, MAY/JUNE 2008 599 Multicanonical Monte Carlo Study of the BER
- A mode elimination technique to improve convergence of iteration methods for finding
- Universally-Convergent Squared-Operator Iteration Methods for Solitary Waves in General Nonlinear
- All-optical multichannel 2R regeneration in a fiber-based device
- 382 JOURNAL OF LIGHTWAVE TECHNOLOGY, VOL. 22, NO. 2, FEBRUARY 2004 Effect of a Raman Co-Pump's RIN on the BER
- Probability-density function for energy perturbations of isolated optical pulses
- CALCULUS II, MATH 022.Z1 Instructor: Dr. T.I. Lakoba Preparation sheet for Test 1
- Math 22 Lab 4 Integration
- INSTITUTE OF PHYSICS PUBLISHING EUROPEAN JOURNAL OF PHYSICS Eur. J. Phys. 23 (2002) 2126 PII: S0143-0807(02)26048-1
- CALCULUS II, MATH 022.Z1 Instructor: Dr. T.I. Lakoba Preparation sheet for the Final Exam
- MATLAB PRIMER This chapter will serve as a hands-on tutorial for beginners who are unfa-
- Error Estimation and Control for ODEs L.F. Shampine
- Taras I. Lakoba Dept. of Mathematics and Statistics, University of Vermont, Burlington, VT 05401
- Convergence conditions for iterative methods seeking multi-component solitary waves with
- NALM-based, phase-preserving 2R regenerator of high-duty-cycle pulses
- Instability analysis of the split-step Fourier method on the background of a soliton of
- Low-Power, Phase-Preserving 2R Amplitude Regenerator
- MATH 260 Foundations of Geometry / Fall 2011 Textbooks: Complex numbers and Geometry, by L.-s. Hahn (required)
- MATH 121.A Calculus III / Fall 2011 Textbook: Calculus (Early transcendentals), by J. Stewart, 6th Ed.
- 13.3 CLASSICAL STRAIGHTEDGE AND COMPASS CONSTRUCTIONS As a simple application of the results we have obtained on algebraic extensions, and in
- CALCULUS III, MATH 121 Instructor: Dr. T.I. Lakoba Preparation sheet for the Final Test (Fall 2011)
- MATH 260.A --Foundations of Geometry / Fall 2011 Preparation sheet for the Final Test
- CALCULUS III, MATH 121 Instructor: Dr. T.I. Lakoba Preparation sheet for Test 3
- CALCULUS III, MATH 121 Instructor: Dr. T.I. Lakoba Preparation sheet for Test 2
- CALCULUS III, MATH 121 Instructor: Dr. T.I. Lakoba Preparation sheet for Test 1
- MATH 260.A --Foundations of Geometry / Fall 2011 Preparation sheet for Test 2
- MATH 260.A --Foundations of Geometry / Fall 2011 Preparation sheet for Test 1
- Acta Numerica (2003), pp. 1--51 c fl Cambridge University Press, 2003
- MATH 337, by T. Lakoba, University of Vermont 65 6 Boundary-value problems (BVPs): Introduction
- MATH 337, by T. Lakoba, University of Vermont 173 17 Method of characteristics for solving hyperbolic PDEs
- MATH 337, by T. Lakoba, University of Vermont 6 1 Simple Euler method and its modifications
- MATH 337, by T. Lakoba, University of Vermont 47 5 Higher-order ODEs and systems of ODEs
- Error Estimation and Control for ODEs L.F. Shampine
- MATH 337, by T. Lakoba, University of Vermont 15 2 Runge-Kutta methods
- Solving Boundary Value Problems for Ordinary Differential Equations in Matlab with bvp4c
- MATH 337, by T. Lakoba, University of Vermont 36 4 Stability analysis of finite-difference methods for ODEs
- MATLAB PRIMER This chapter will serve as a hands-on tutorial for beginners who are unfa-
- MATH 337, by T. Lakoba, University of Vermont 140 15 The Heat equation in 2 and 3 spatial dimensions
- MATH 337.A Numerical Differential Equations Spring 2012
- Edward Neuman Department of Mathematics
- Edward Neuman Department of Mathematics
- MATH 337, by T. Lakoba, University of Vermont 69 7 The shooting method for solving BVPs
- MATH 121.C Calculus III / Spring 2012 Textbook: Calculus (Early transcendentals), by J. Stewart, 6th Ed.
- Numerical methods for distributed models T.I. Lakoba
- Computation Visualization
- MATH 337, by T. Lakoba, University of Vermont 125 14 Generalizations of the simple Heat equation
- Numerical methods for local models T.I. Lakoba
- MATH 337, by T. Lakoba, University of Vermont 167 16 Hyperbolic PDEs
- MATH 337, by T. Lakoba, University of Vermont 79 8 Finite-difference methods for BVPs
- MATH 337, by T. Lakoba, University of Vermont 94 9 Concepts behind finite-element method
- MATH 337, by T. Lakoba, University of Vermont 101 11 Classification of partial differentiation equations (PDEs)
- An International Joumal computers &
- CALCULUS III, MATH 121 Instructor: Dr. T.I. Lakoba Preparation sheet for Test 1
- Applied Numerical Mathematics 57 (2007) 1935 www.elsevier.com/locate/apnum
- MATH 337, by T. Lakoba, University of Vermont 107 12 The Heat equation in one spatial dimension
- Edward Neuman Department of Mathematics
- MATLAB PrimerThird Edition Kermit Sigmon
- Edward Neuman Department of Mathematics
- MATH 337, by T. Lakoba, University of Vermont 21 3 Multistep, Predictor-Corrector, and Implicit methods
- MATH 337, by T. Lakoba, University of Vermont 1 0 Preliminaries
- Computation Visualization
- A Practical Introduction to Matlab (Updated for Matlab 5)
- MATLAB has many tools that make this package well suited for numerical computations. This tutorial deals with the rootfinding, interpolation, numerical differentiation and integration and
- MATH 337, by T. Lakoba, University of Vermont 118 13 Implicit methods for the Heat equation
- BIT33 (1993), 17~175. VARIABLE STEP SIZE DESTABILIZES THE
