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doc: updates release notes
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docs/en/_toc.yml

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- file: releases/jijmodeling-1.10.0
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- file: releases/jijmodeling-1.10.1
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- file: releases/jijmodeling-1.11.0
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- file: releases/jijmodeling-1.12.0
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# JijModeling 1.12.0 Release Notes\n",
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"\n",
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"## Feature Enhancements\n",
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"\n",
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"### `Interpreter` now detects SOS1 constraints\n",
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"\n",
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"The recent OMMX version (Python SDK 1.8.3+ and/or Rust SDK v2.0.0-rc1+) adds a field for Special-Ordered Set of Type 1 (SOS1) constraint hints.\n",
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"SOS1 is a constraint on a list $x_1, \\ldots, x_n$ of non-negative variables which allows at most one of them to be non-zero.\n",
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"`jm.Interpreter` now can detect this type of constraints for arbitrary non-negative variables. More precisely, it detects SOS1 constraints expressed in the following form (and their algebraic equivalents):\n",
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"\n",
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"1. $\\sum_i \\delta_i \\leq 1$ for binary variables $\\delta_i$, or\n",
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"2. $\\sum_i \\delta_i \\leq 1$ together with $x_i \\leq M_i \\delta_i \\ \\forall i$.\n",
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" Here, $x_i$ s are arbitrary decision variables with bound $L_i \\leq x_i \\leq M_i$ specified at the declaration time, where $L_i \\geq 0$ is constant.\n",
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"\n",
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"With this feature, you can now take an advantage of SOS1 constraints if you are using OMMX adapters with SOS1 constraint support (e.g. `ommx-pyscipopt-adapter`). "
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": ".venv",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.12"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

docs/ja/_toc.yml

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- file: releases/jijmodeling-1.10.0
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- file: releases/jijmodeling-1.10.1
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- file: releases/jijmodeling-1.11.0
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- file: releases/jijmodeling-1.12.0
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# JijModeling 1.12.0 Release Notes\n",
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"\n",
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"## Feature Enhancements\n",
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"\n",
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"### `Interpreter` now detects SOS1 constraints\n",
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"\n",
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"The recent OMMX version (Python SDK 1.8.3+ and/or Rust SDK v2.0.0-rc1+) adds a field for Special-Ordered Set of Type 1 (SOS1) constraint hints.\n",
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"SOS1 is a constraint on a list $x_1, \\ldots, x_n$ of non-negative variables which allows at most one of them to be non-zero.\n",
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"`jm.Interpreter` now can detect this type of constraints for arbitrary non-negative variables. More precisely, it detects SOS1 constraints expressed in the following form (and their algebraic equivalents):\n",
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"\n",
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"1. $\\sum_i \\delta_i \\leq 1$ for binary variables $\\delta_i$, or\n",
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"2. $\\sum_i \\delta_i \\leq 1$ together with $x_i \\leq M_i \\delta_i \\ \\forall i$.\n",
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" Here, $x_i$ s are arbitrary decision variables with bound $L_i \\leq x_i \\leq M_i$ specified at the declaration time, where $L_i \\geq 0$ is constant.\n",
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"\n",
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"With this feature, you can now take an advantage of SOS1 constraints if you are using OMMX adapters with SOS1 constraint support (e.g. `ommx-pyscipopt-adapter`). "
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": ".venv",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.12"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

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