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Xem thêm: modeling evolution an introduction to numerical methods feb 2010, modeling evolution an introduction to numerical methods feb 2010, Oxford U. Press - Modeling Evolution an Introduction to numerical methods (2010) (ATTiCA), 3 Scenario 1: A simple trade-off model, 5 Scenario 3: Adding age-specific mortality that affects the optimum, 6 Scenario 4: Adding age-specific mortality that affects the optimum and using integration rather than summation, 7 Scenario 5: Maximizing the Malthusian parameter, r, rather than expected lifetime reproductive success, R[sub(o)], 8 Scenario 6: Stochastic variation in parameters, 9 Scenario 7: Discrete temporal variation in parameters, 10 Scenario 8: Continuous temporal variation in parameters, 11 Scenario 9: Maximizing two traits simultaneously, 13 Scenario 11: Two traits may be resolved into a single trait, 14 Scenario 12: The importance of plotting and the utility of brute force, 15 Scenario 13: Dealing with recursion by brute force, 16 Scenario 14: Adding a third variable and more, 5 Scenario 3: Functional dependence in the Ricker model, 6 Scenario 4: The evolution of reproductive effort, 7 Scenario 5: A two stage model, 8 Scenario 6: A case in which the putative ESS is not stable, 4 Scenario 2: Stabilizing selection using an IVC model, 5 Scenario 3: Directional selection using an IVC model, 6 Scenario 4: Directional selection using an IL model, 7 Scenario 5: A quantitative genetic analysis of the Ricker model, 8 Scenario 6: Evolution of two traits using an IVC model, 9 Scenario 7: Evolution of two traits using an IL model, 4 Scenario 2: Hawk-Dove game: a clonal model, 5 Scenario 3: Hawk-Dove game: a simple Mendelian model, 6 Scenario 4: Hawk-Dove game: a quantitative genetic model, 7 Scenario 5: Rock-Paper-Scissors: a clonal model, 8 Scenario 6: Rock-Paper-Scissors: a simple Mendelian model, 9 Scenario 7: Rock-Paper-Scissors: a quantitative genetics model, 10 Scenario 8: Frequency-dependence with limited interactions, 4 Scenario 2: To forage or not to forage: when patches become options, 5 Scenario 3: Testing for equivalent choices, indexing, and interpolation, 6 Scenario 4: Host choice in parasitoids: fitness decreases with time, 7 Scenario 5: Optimizing egg and clutch size: dealing with two state variables