Subjects

πŸ“˜ optimization

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Garden Optimization 4F6956
1. **Problem:** A rectangular garden is to be constructed using a rock wall as one side and wire fencing for the other three sides. Given 200 m of wire fence, find the dimensions t
Minimize Quadratic Db1Bce
1. **State the problem:** Minimize the function $$f(x,y) = (x-1)^2 + y^2$$ subject to the constraint $$y - 2x = 0$$. 2. **Use the constraint to express one variable in terms of the
Fractional Knapsack 4F1572
1. **State the problem:** We have 3 items with weights $w_1=10$, $w_2=20$, $w_3=30$ and values $v_1=60$, $v_2=100$, $v_3=120$. We want to maximize the total value in a knapsack wit
Conditional Minimization 462D27
1. Π—Π°Π΄Π°Ρ‡Π°: ΠΌΠΈΠ½ΠΈΠΌΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒ Ρ„ΡƒΠ½ΠΊΡ†ΠΈΡŽ $$f(x_1,x_2) = -100 - x_2 + 0.01x_1^2 - 0.01x_1 + 10$$ ΠΏΡ€ΠΈ ограничСниях $$x_1 \in [-15,5], x_2 \in [-3,3]$$. 2. Для ΠΌΠΈΠ½ΠΈΠΌΠΈΠ·Π°Ρ†ΠΈΠΈ Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΈ ΠΌΠ½ΠΎΠ³ΠΈΡ… ΠΏΠ΅Ρ€
Conditional Minimization 01A046
1. Π—Π°Π΄Π°Ρ‡Π°: ΠΌΠΈΠ½ΠΈΠΌΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒ Ρ„ΡƒΠ½ΠΊΡ†ΠΈΡŽ ΠΌΠ½ΠΎΠ³ΠΈΡ… ΠΏΠ΅Ρ€Π΅ΠΌΠ΅Π½Π½Ρ‹Ρ… $$f(x_1,x_2) = -100 - x_2 + 0.01x_1^2 - 0.01x_1 + 10$$ ΠΏΡ€ΠΈ ограничСниях $$x_1 \in [-15,5], x_2 \in [-3,3]$$. 2. Для ΠΌΠΈΠ½ΠΈΠΌΠΈΠ·Π°Ρ†ΠΈΠΈ
Constrained Minimization 7Cdec9
1. The problem is to minimize the function $$f(x_1,x_2) = -100 - x_2 + 0.01x_1^2 - 0.01x_1 + 10$$ subject to the constraints $$-15 \leq x_1 \leq 5$$ and $$-3 \leq x_2 \leq 3$$. 2.
Rosenbrock Minimization 4Bd0C2
1. **ΠŸΠΎΡΡ‚Π°Π½ΠΎΠ²ΠΊΠ° Π·Π°Π΄Π°Ρ‡ΠΈ:** ΠœΠΈΠ½ΠΈΠΌΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒ Ρ„ΡƒΠ½ΠΊΡ†ΠΈΡŽ ΠΌΠ½ΠΎΠ³ΠΈΡ… ΠΏΠ΅Ρ€Π΅ΠΌΠ΅Π½Π½Ρ‹Ρ… $$f(x_1,x_2)=100(x_2-x_1^2)^2+(1-x_1)^2$$ с Π½Π°Ρ‡Π°Π»ΡŒΠ½ΠΎΠΉ Ρ‚ΠΎΡ‡ΠΊΠΈ $$x^0=(1.5,2)$$ ΠΈ ΠΎΠΆΠΈΠ΄Π°Π΅ΠΌΡ‹ΠΌ ΠΌΠΈΠ½ΠΈΠΌΡƒΠΌΠΎΠΌ $$x^*=(1,1)$$.
Max Volume Container 230040
1. **State the problem:** A company wants to build a square-based container with a lid. The side walls cost 1 dollar per square meter, and the base and lid cost 2 dollars per squar
Constraint Optimization 54D375
1. **State the problem:** We want to maximize the function $$f(q_1,q_2) = q_1^6 q_2^4 + 1.5 \ln q_1 + \ln q_2$$ subject to the constraint $$s_t = 100 = s_1 + 4 s_2$$.
Max Score Min T 2Ff374
1. The problem asks why the maximum score occurs at the minimum value of $T$. 2. Typically, in optimization problems, the score or objective function depends on a variable $T$.
Fungsi Tujuan Ae2Ad5
1. The problem asks: How do you find the Fungsi Tujuan (Objective Function) in optimization problems? 2. The Fungsi Tujuan is a mathematical expression that represents the goal of
Unconstrained Optimization 771Cc6
1. **Problem Statement:** Solve the unconstrained nonlinear multivariable optimization problem:
Minimization Bukina Fcd28E
1. Π—Π°Π΄Π°Ρ‡Π°: ΠœΠΈΠ½ΠΈΠΌΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒ Ρ„ΡƒΠ½ΠΊΡ†ΠΈΡŽ $$f(x_1, x_2) = -10 x_2 + 0.01 x_1^2 + 10$$ ΠΏΡ€ΠΈ ограничСниях $$x_1 \in [-15, 15], x_2 \in [-38, 3]$$. 2. Π€ΠΎΡ€ΠΌΡƒΠ»Π° ΠΈ ΠΏΡ€Π°Π²ΠΈΠ»Π°: ΠœΠΈΠ½ΠΈΠΌΠΈΠ·Π°Ρ†ΠΈΡ Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΈ Π΄Π²
Rosenbrock Minimization B600D6
1. Π—Π°Π΄Π°Ρ‡Π°: ΠœΠΈΠ½ΠΈΠΌΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒ Ρ„ΡƒΠ½ΠΊΡ†ΠΈΡŽ Π΄Π²ΡƒΡ… ΠΏΠ΅Ρ€Π΅ΠΌΠ΅Π½Π½Ρ‹Ρ… $$f(x_1, x_2) = 100(x_2 - x_1^2)^2 + (1 - x_1)^2$$ с Π½Π°Ρ‡Π°Π»ΡŒΠ½Ρ‹ΠΌ ΠΏΡ€ΠΈΠ±Π»ΠΈΠΆΠ΅Π½ΠΈΠ΅ΠΌ $$x^0 = (1.5, 2)$$ ΠΈ Π½Π°ΠΉΡ‚ΠΈ Ρ‚ΠΎΡ‡ΠΊΡƒ ΠΌΠΈΠ½ΠΈΠΌΡƒΠΌΠ° $$x^* = (1,
Rosenbrock Minimization Cc96Aa
1. **ΠŸΠΎΡΡ‚Π°Π½ΠΎΠ²ΠΊΠ° Π·Π°Π΄Π°Ρ‡ΠΈ:** ΠœΠΈΠ½ΠΈΠΌΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒ Ρ„ΡƒΠ½ΠΊΡ†ΠΈΡŽ Π΄Π²ΡƒΡ… ΠΏΠ΅Ρ€Π΅ΠΌΠ΅Π½Π½Ρ‹Ρ… $$f(x_1, x_2) = 100(x_2 - x_1^2)^2 + (1 - x_1)^2$$ с Π½Π°Ρ‡Π°Π»ΡŒΠ½Ρ‹ΠΌ ΠΏΡ€ΠΈΠ±Π»ΠΈΠΆΠ΅Π½ΠΈΠ΅ΠΌ $$x^0 = (1.5, 2)$$ ΠΈ Π½Π°ΠΉΡ‚ΠΈ Ρ‚ΠΎΡ‡ΠΊΡƒ ΠΌΠΈΠ½ΠΈΠΌΡƒ
Optimization Maximum 7C5Dc4
1. **State the problem:** We want to maximize the objective function $$Q = 3y + 2x$$ subject to the constraints:
Weight Heuristic B06C6E
1. The problem asks to apply the Weight Heuristic Method to find the optimization of a given problem. 2. The Weight Heuristic Method is often used in optimization to assign weights
Optimization Overview Cdb364
1. **Historical Development of Optimization** Optimization has evolved from ancient times when people sought to maximize or minimize quantities, such as land use or resource alloca
Linear_Programming 6C239E
1. **Problem Statement:** Minimize the objective function $$Z = 5x_1 + 4x_2$$
Global Optimization 3320Ff
1. **ΠŸΠΎΡΡ‚Π°Π½ΠΎΠ²ΠΊΠ° Π·Π°Π΄Π°Ρ‡ΠΈ:** Нам Π΄Π°Π½Π° функция Π΄Π²ΡƒΡ… ΠΏΠ΅Ρ€Π΅ΠΌΠ΅Π½Π½Ρ‹Ρ… $$f(x,y) = -20 \exp\left(-\frac{0.2}{0.5}(x + y)\right) - \exp\left(0.5(\cos(2) + \cos(27y))\right) + 20 + e$$
Global Minimum 28C641
1. Π—Π°Π΄Π°Ρ‡Π°: Найти Π³Π»ΠΎΠ±Π°Π»ΡŒΠ½Ρ‹ΠΉ ΠΌΠΈΠ½ΠΈΠΌΡƒΠΌ Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΈ Π΄Π²ΡƒΡ… ΠΏΠ΅Ρ€Π΅ΠΌΠ΅Π½Π½Ρ‹Ρ… $$f(x,y) = -20 \exp\left(-\frac{0.2}{0.5}(x + y)\right) - \exp\left(0.5(\cos(2) + \cos(27y))\right) + 20 + e$$ ΠΏΡ€ΠΈ услов