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Chellaboina, V. and Haddad, W.M. Nonlinear Dynamical Systems and Control: A Lyapunov-Based Approach. Clark, T., Scott, L.R. and Bagheri, B. Scientific Parallel Computing. Crannell, A. and Frantz, M. Viewpoints: Mathematical Perspective and Fractal Geometry in Art. Del Vecchio, D. and Murray, R.M. Biomolecular Feedback Systems. Devadoss, S.L. and O'Rourke, J. Discrete and Computational Geometry. Epstein, R.L. Classical Mathematical Logic: The Semantic Foundations of Logic. Felten, E., Narayanan, A., Bonneau, J., Miller, A. and Goldfeder, S. Bitcoin and Cryptocurrency Technologies: A Comprehensive Introduction. Folland, G.B. Introduction to Partial Differential Equations. Frantz, M. and Crannell, A. Viewpoints: Mathematical Perspective and Fractal Geometry in Art. Goebel, R., Sanfelice, R. and Teel, A.R. Hybrid Dynamical Systems: Modeling, Stability, and Robustness. Goldfeder, S., Narayanan, A., Bonneau, J., Felten, E. and Miller, A. Bitcoin and Cryptocurrency Technologies: A Comprehensive Introduction. Greenbaum, A. and Chartier, T. Numerical Methods: Design, Analysis, and Computer Implementation of Algorithms. Gross, L.J., Bodine, E.N. and Lenhart, S. Mathematics for the Life Sciences. Haberman, R. and Campbell, S.L. Introduction to Differential Equations with Dynamical Systems. Haddad, W.M. and Chellaboina, V. Nonlinear Dynamical Systems and Control: A Lyapunov-Based Approach. Hespanha, J. Linear Systems Theory. Hill, T.P. and Berger, A. An Introduction to Benford's Law. Klemens, B. Modeling with Data: Tools and Techniques for Scientific Computing. Landau, R.H. A First Course in Scientific Computing: Symbolic, Graphic, and Numeric Modeling Using Maple, Java, Mathematica, and Fortran90. Landau, R.H., Páez, J. and Bordeianu, C.C. A Survey of Computational Physics: Introductory Computational Science. Lenhart, S., Bodine, E.N. and Gross, L.J. Mathematics for the Life Sciences. Levy, R. and Shearer, M. 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A Survey of Computational Physics: Introductory Computational Science. Ruszczynski, A. Nonlinear Optimization. Sanfelice, R., Goebel, R. and Teel, A.R. Hybrid Dynamical Systems: Modeling, Stability, and Robustness. Schechter, E. Classical and Nonclassical Logics: An Introduction to the Mathematics of Propositions. Scott, L.R. Numerical Analysis. Scott, L.R., Clark, T. and Bagheri, B. Scientific Parallel Computing. Shakarchi, R. and Stein, E.M. Complex Analysis. Shakarchi, R. and Stein, E.M. Fourier Analysis: An Introduction. Shakarchi, R. and Stein, E.M. Functional Analysis: Introduction to Further Topics in Analysis. Shakarchi, R. and Stein, E.M. Real Analysis: Measure Theory, Integration, and Hilbert Spaces. Shearer, M. and Levy, R. Partial Differential Equations: An Introduction to Theory and Applications. Shiflet, A.B. and Shiflet, G.W. Introduction to Computational Science: Modeling and Simulation for the Sciences. Shiflet, G.W. and Shiflet, A.B. Introduction to Computational Science: Modeling and Simulation for the Sciences. Stein, E.M. and Shakarchi, R. Complex Analysis. Stein, E.M. and Shakarchi, R. Fourier Analysis: An Introduction. Stein, E.M. and Shakarchi, R. Functional Analysis: Introduction to Further Topics in Analysis. Stein, E.M. and Shakarchi, R. Real Analysis: Measure Theory, Integration, and Hilbert Spaces. Stewart, W.J. Introduction to the Numerical Solution of Markov Chains. Stewart, W.J. Probability, Markov Chains, Queues, and Simulation: The Mathematical Basis of Performance Modeling. Strichartz, R.S. Differential Equations on Fractals: A Tutorial. Takloo-Bighash, R. and Miller, S.J. An Invitation to Modern Number Theory. Teel, A.R., Goebel, R. and Sanfelice, R. Hybrid Dynamical Systems: Modeling, Stability, and Robustness. Tucker, W. Validated Numerics: A Short Introduction to Rigorous Computations. Tung, K.K. Topics in Mathematical Modeling. Watkins, J.J. Number Theory: A Historical Approach. Watkins, J.J. 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