عنصر يخزِّن قيدًا خطيًا على شكل lowerBound ≤ Sum(a(i) x(i)) ≤ upperBound
حيث يكون lowerBound وupperBound ثابتَين، وa(i) مُعاملات
ثابتة، وx(i) متغيّرات (غير معروفة).
تاريخ التعديل الأخير: 2024-12-03 (حسب التوقيت العالمي المتفَّق عليه)
[[["يسهُل فهم المحتوى.","easyToUnderstand","thumb-up"],["ساعَدني المحتوى في حلّ مشكلتي.","solvedMyProblem","thumb-up"],["غير ذلك","otherUp","thumb-up"]],[["لا يحتوي على المعلومات التي أحتاج إليها.","missingTheInformationINeed","thumb-down"],["الخطوات معقدة للغاية / كثيرة جدًا.","tooComplicatedTooManySteps","thumb-down"],["المحتوى قديم.","outOfDate","thumb-down"],["ثمة مشكلة في الترجمة.","translationIssue","thumb-down"],["مشكلة في العيّنات / التعليمات البرمجية","samplesCodeIssue","thumb-down"],["غير ذلك","otherDown","thumb-down"]],["تاريخ التعديل الأخير: 2024-12-03 (حسب التوقيت العالمي المتفَّق عليه)"],[[["The Linear Optimization Service enables the modeling and resolution of linear and mixed-integer linear programs within Apps Script."],["It provides classes like `LinearOptimizationConstraint`, `LinearOptimizationEngine`, and `LinearOptimizationSolution` to define, solve, and retrieve optimization results."],["`LinearOptimizationEngine` allows adding variables, constraints, setting objective functions (maximization or minimization), and solving the linear program."],["Solutions can be evaluated using methods like `getObjectiveValue`, `getStatus`, and `getVariableValue` to understand the optimization outcome."],["The service utilizes various statuses (e.g., `OPTIMAL`, `FEASIBLE`, `INFEASIBLE`) and variable types (`INTEGER`, `CONTINUOUS`) to represent the solution state and variable characteristics."]]],["The linear optimization service models and solves linear and mixed-integer linear programs. Key actions include: creating an engine (`LinearOptimizationEngine`), adding variables with bounds and types, adding constraints to the model, setting the objective function's direction (maximize or minimize), and setting coefficients for variables in the objective function and constraints. The `solve()` method then computes the solution. The `LinearOptimizationSolution` object contains methods to determine solution status, objective value, and variable values.\n"]]
