METODE NUMERIK TERAPAN DENGAN SOFTWARE PEMROGRAMAN
Kata Kunci:
PEMROGRAMANSinopsis
Buku Metode Numerik Terapan dengan Software Pemrograman ini disusun sebagai panduan praktis untuk mahasiswa, dosen, dan praktisi teknik dalam memahami konsep-konsep dasar metode numerik secara aplikatif. Disajikan dengan pendekatan langkah-demi-langkah, buku ini membahas pemodelan matematika, penyelesaian persamaan numerik, optimasi, dan analisis data, hingga integrasi dan diferensiasi numerik. Didukung dengan implementasi langsung menggunakan software pemrograman seperti MATLAB, buku ini dirancang agar pembaca dapat dengan mudah menerapkan teori ke dalam pemrograman dan menyelesaikan persoalan teknik dan sains secara efisien. Cocok digunakan baik di ruang kelas maupun sebagai referensi belajar mandiri.
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KATA PENGANTAR
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DAFTAR ISI
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BAB 1 PEMODELAN MATEMATIKA, METODE NUMERIK, DAN PENYELESAIAN MASALAH
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BAB 2 DASAR-DASAR MATLAB
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BAB 3 PROGRAMMING DENGAN MATLAB
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BAB 4 ROUND OFF DAN TRUNCATION ERRORS
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DAFTAR PUSTAKA
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PROFIL PENULIS
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Referensi
Anscombe, F. J. (1973). Graphs in statistical analysis. American Statistician, 27(1), 17–21.
Attaway, S. (2009). MATLAB: A practical introduction to programming and problem solving. Elsevier Science, Burlington, MA.
Bogacki, P., & Shampine, L. F. (1989). A 3(2) pair of Runge-Kutta formulas. Applied Mathematics Letters, 2, 1–9.
Brent, R. P. (1973). Algorithms for minimization without derivatives. Prentice Hall, Englewood Cliffs, NJ.
Butcher, J. C. (1964). On Runge-Kutta processes of higher order. Journal of the Australian Mathematical Society, 4, 179.
Carnahan, B., Luther, H. A., & Wilkes, J. O. (1969). Applied numerical methods. Wiley, New York.
Chapra, S. C., & Canale, R. P. (2010). Numerical methods for engineers (6th ed.). McGraw-Hill, New York.
Cooley, J. W., & Tukey, J. W. (1965). An algorithm for the machine calculation of complex Fourier series. Mathematics of Computation, 19, 297–301.
Dekker, T. J. (1969). Finding a zero by means of successive linear interpolation. In B. Dejon & P. Henrici (Eds.), Constructive aspects of the fundamental theorem of algebra (pp. 37–48). Wiley-Interscience, New York.
Devaney, R. L. (1990). Chaos, fractals, and dynamics: Computer experiments in mathematics. Addison-Wesley, Menlo Park, CA.
Dormand, J. R., & Prince, P. J. (1980). A family of embedded Runge-Kutta formulae. Journal of Computational and Applied Mathematics, 6, 19–26.
Draper, N. R., & Smith, H. (1981). Applied regression analysis (2nd ed.). Wiley, New York.
Fadeev, D. K., & Fadeeva, V. N. (1963). Computational methods of linear algebra. Freeman, San Francisco, CA.
Forsythe, G. E., Malcolm, M. A., & Moler, C. B. (1977). Computer methods for mathematical computation. Prentice Hall, Englewood Cliffs, NJ.
Gabel, R. A., & Roberts, R. A. (1987). Signals and linear systems. Wiley, New York.
Gander, W., & Gautschi, W. (2000). Adaptive quadrature–Revisited. BIT Numerical Mathematics, 40, 84–101.
Gerald, C. F., & Wheatley, P. O. (1989). Applied numerical analysis (3rd ed.). Addison-Wesley, Reading, MA.
Hanselman, D., & Littlefield, B. (2005). Mastering MATLAB 7. Prentice Hall, Upper Saddle River, NJ.
Hayt, W. H., & Kemmerly, J. E. (1986). Engineering circuit analysis. McGraw-Hill, New York.
Heideman, M. T., Johnson, D. H., & Burrus, C. S. (1984). Gauss and the history of the fast Fourier transform. IEEE ASSP Magazine, 1(4), 14–21.
Hornbeck, R. W. (1975). Numerical methods. Quantum, New York.
James, M. L., Smith, G. M., & Wolford, J. C. (1985). Applied numerical methods for digital computations with FORTRAN and CSMP (3rd ed.). Harper & Row, New York.
Moler, C. B. (2004). Numerical computing with MATLAB. SIAM, Philadelphia, PA.
Moore, H. (2008). MATLAB for engineers (2nd ed.). Prentice Hall, Upper Saddle River, NJ.
Munson, B. R., Young, D. F., Okiishi, T. H., & Huebsch, W. D. (2009). Fundamentals of fluid mechanics (6th ed.). Wiley, Hoboken, NJ.
Ortega, J. M. (1972). Numerical analysis–A second course. Academic Press, New York.
Palm, W. J. III. (2007). A concise introduction to MATLAB. McGraw-Hill, New York.
Ralston, A. (1962). Runge-Kutta methods with minimum error bounds. Mathematics of Computation, 16, 431.
Ralston, A., & Rabinowitz, P. (1978). A first course in numerical analysis (2nd ed.). McGraw-Hill, New York.
Ramirez, R. W. (1985). The FFT, fundamentals and concepts. Prentice Hall, Englewood Cliffs, NJ.
Recktenwald, G. (2000). Numerical methods with MATLAB. Prentice Hall, Englewood Cliffs, NJ.
Scarborough, I. B. (1966). Numerical mathematical analysis (6th ed.). Johns Hopkins Press, Baltimore, MD.
Shampine, L. F. (1994). Numerical solution of ordinary differential equations. Chapman & Hall, New York.
Van Valkenburg, M. E. (1974). Network analysis. Prentice Hall, Englewood Cliffs, NJ.
White, F. M. (1999). Fluid mechanics. McGraw-Hill, New York.
