{"id":194,"date":"2013-12-20T03:42:00","date_gmt":"2013-12-20T03:42:00","guid":{"rendered":"http:\/\/pro369.com\/seo\/?p=194"},"modified":"2013-12-20T03:42:00","modified_gmt":"2013-12-20T03:42:00","slug":"%ef%bc%88%e9%9d%9e%e7%b7%9a%e6%80%a7%e5%85%89%e6%bb%91%e6%94%b9%e5%96%84%ef%bc%89ziena-optimization-knitro-811","status":"publish","type":"post","link":"https:\/\/por.tw\/seo\/%ef%bc%88%e9%9d%9e%e7%b7%9a%e6%80%a7%e5%85%89%e6%bb%91%e6%94%b9%e5%96%84%ef%bc%89ziena-optimization-knitro-811\/","title":{"rendered":"\uff08\u975e\u7dda\u6027\u5149\u6ed1\u6539\u5584\uff09Ziena Optimization KNITRO 8.11"},"content":{"rendered":"<p><font size=\"2\"><strong><font color=\"#008000\">\u3010\u6587\u7ae0\u5167\u5bb9\u3011\uff1a<\/font><\/p>\n<p> KNITRO\u662f\u4e00\u7a2e\u6c42\u89e3\u975e\u7dda\u6027\u6539\u5584\u3002\u5b83\u662f\u5e02\u5834\u4e0a\u6700\u5f37\u5927\u548c\u9748\u6d3b\u7684\u89e3\u6c7a\u8005\uff0c\u63d0\u4f9b\u5148\u9032\u88dd\u7f6e\uff0c\u6700\u5148\u9032\u7684\u4e09\u7a2e\u7b97\u6cd5\u3002<br \/> \u7bc4\u570d\u5ee3\u6cdb\u7684\u884c\u70ba\u7531\u975e\u7dda\u6027\u554f\u984c\u7684\u8868\u73fe\u4f7f\u5f97\u9019\u4e00\u500b\u57fa\u672c\u7279\u5fb5\u3002 KNITRO\u662f\u5c08\u70ba\u5927\u578b\u554f\u984c\u7684\u7dad\u5ea6\u8dd1\u5165\u5341\u842c\u3002<br \/> \u5b83\u662f\u6709\u6548\u89e3\u6c7a\u7dda\u6027\uff0c\u4e8c\u6b21\u548c\u975e\u7dda\u6027\u5149\u6ed1\u6539\u5584\u554f\u984c\uff0c\u65e2\u51f8\u548c\u975e\u51f8\u3002\u5b83\u4e5f\u662f\u6709\u6548\u7684\u975e\u7dda\u6027\u56de\u6b78\uff0c\u554f\u984c\u8207\u4e92\u88dc\u7d04\u675f\uff08 MPCCs\u6216MPECs \uff09 \uff0c\u548c\u6df7\u5408\u6574\u6578\u898f\u5283\uff08MIPS \uff09 \uff0c\u5c24\u5176\u662f\u51f8\u6df7\u5408\u6574\u6578\u975e\u7dda\u6027\u554f\u984c\uff08 MINLP \uff09 \u3002<br \/> KNITRO\u662f\u9ad8\u5ea6\u91cd\u8996\u5176\u9b6f\u68d2\u6027\u548c\u6548\u7387\u3002 KNITRO\u63d0\u4f9b\u4e86\u5ee3\u6cdb\u7684\u4f7f\u7528\u8005\u9078\u9805\uff0c\u4e26\u63d0\u4f9b\u4ecb\u9762\u7d66C\uff0c C + + \uff0c Fortran\u8a9e\u7cfb\uff0c Java\u7684\uff0c AMPL \uff0c AIMMS \uff0c GAMS \uff0c MPL \uff0c\u6578\u5b78\uff0cMATLAB\u7684Microsoft Excel\u548cLabVIEW \u3002<br \/> \u7e7c\u7e8c\u7a4d\u6975\u958b\u767c\u548c\u652f\u63f4\uff0c\u78ba\u4fddKNITRO\u4ecd\u5c07\u662f\u9818\u5148\u7684\u975e\u7dda\u6027\u6539\u5584\u3002<\/strong><\/font><\/p>\n<p> <font size=\"2\">   <\/font> <\/p>\n<p><font size=\"2\">&nbsp;<img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/visdacom.com\/seo\/wp-content\/uploads\/2013\/12\/9936012886.jpg\"  width=\"215\" height=\"201\" \/><strong><br \/> &#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8211;<br \/> \u3010\u6587\u7ae0\u6a19\u984c\u3011: \uff08\u975e\u7dda\u6027\u5149\u6ed1\u6539\u5584\uff09Ziena Optimization KNITRO 8.11<br \/> \u3010\u6587\u7ae0\u4f5c\u8005\u3011: \u641c\u5c0b\u5f15\u64ce\u6392\u540dSEO\u6280\u8853\u6559\u5b78\u5bc6\u8a13\u57fa\u5730<br \/> \u3010\u4f5c\u8005\u4fe1\u7bb1\u3011: ster168ster@gmail.com<br \/> \u3010\u4f5c\u8005\u9996\u9801\u3011: http:\/\/por.tw\/seo\/<br \/> \u3010\u641c\u5c0b\u5f15\u64ce\u6392\u540dSEO\u6280\u8853\u6559\u5b78\u8ab2\u7a0b\u3011:http:\/\/por.tw\/seo\/new-seo\/index.php<br \/> \u3010\u57fa\u5730\u4e3b\u6a5f\u3011: http:\/\/goto1688.com\/seo\/<br \/> \u3010\u7248\u6b0a\u8072\u660e\u3011: \uff08\u539f\u5275\uff09\u641c\u5c0b\u5f15\u64ce\u6392\u540dSEO\u6280\u8853\u6559\u5b78\u5bc6\u8a13\u57fa\u5730\uff0c\u8f49\u8f09\u5fc5\u9808\u4fdd\u7559\u5b8c\u6574\u6a19\u982d\u3002\u522a\u9664\u8005\u4f9d\u6cd5\u8ffd\u7a76\uff01<br \/> &#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8211;<br \/> Ziena Optimization KNITRO 8.11<\/p>\n<p> KNITRO is a solver for nonlinear optimization. It is the most powerful and versatile solver on the market, providing three state-of-the-art algorithms. The broad range of behaviors exhibited by nonlinear problems makes this an essential feature. KNITRO is designed for large problems with dimensions running into the hundred thousands. It is effective for solving linear, quadratic, and nonlinear smooth optimization problems, both convex and nonconvex. It is also effective for nonlinear regression, problems with complementarity constraints (MPCCs or MPECs), and mixed-integer programming (MIPs), particular convex mixed integer, nonlinear problems (MINLP). KNITRO is highly regarded for its robustness and efficiency. KNITRO provides a wide range of user options, and offers interfaces to C, C++, Fortran, Java, AMPL, AIMMS, GAMS, MPL, Mathematica, MATLAB Microsoft Excel, and LabVIEW. Continuing active development and support ensures that KNITRO will remain the leader in nonlinear optimization.<\/p>\n<p> <font color=\"#0000FF\">\uff08\u975e\u7dda\u6027\u5149\u6ed1\u6539\u5584\uff09Ziena Optimization KNITRO 8.11 | Homepage: www.ziena.com\/knitro.htm<\/font><\/p>\n<p> <font color=\"#FF00FF\">\uff08\u975e\u7dda\u6027\u5149\u6ed1\u6539\u5584\uff09Ziena Optimization KNITRO 8.11 | Size: 21.1 MB<\/font><br \/> &#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8211;<br \/> \u3010\u641c\u5c0b\u5f15\u64ce\u6392\u540dSEO\u6280\u8853\u3011\u4f60\u5728\u6478\u7d22\u5982\u4f55\u641c\u5c0b\u5f15\u64ce\u6392\u540dSEO\u6280\u8853\u55ce\uff1f\u6709\u3010\u6280\u8853\u9867\u554f\u670d\u52d9\u3011\u53ef\u8aee\u8a62\u55ce\uff1f<br \/> \u7576\u554f\u984c\u7121\u6cd5\u89e3\u6c7a\u4f60\u8981\u767c\u5f88\u591a\u6642\u9593\u8655\u7406\uff08\u6216\u8a31\u6c38\u9060\u627e\u51fa\u7b54\u6848\uff09\u90a3\u5c31\u662f\u81ea\u5df1\u6478\u7d22\u641c\u5c0b\u5f15\u64ce\u6392\u540dSEO\u6280\u8853\u75db\u82e6\u7684\u958b\u59cb\uff01<br \/> \u8cfc\u8cb7\u3010\u641c\u5c0b\u5f15\u64ce\u6392\u540dSEO\u6280\u8853\u3011DVD\u8ab2\u7a0b\uff0c\u5c31\u53ef\u7372\u5f97\u3010\u641c\u5c0b\u5f15\u64ce\u6392\u540dSEO\u3011\u6280\u8853\u3010\u9867\u554f\u8aee\u8a62\u670d\u52d9\u3011\uff01<br \/> <\/strong><\/font><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u3010\u6587\u7ae0\u5167\u5bb9\u3011\uff1a KNITRO\u662f\u4e00\u7a2e\u6c42\u89e3\u975e\u7dda\u6027\u6539\u5584\u3002\u5b83\u662f\u5e02\u5834\u4e0a\u6700\u5f37\u5927\u548c\u9748\u6d3b\u7684\u89e3\u6c7a\u8005\uff0c\u63d0\u4f9b\u5148\u9032\u88dd\u7f6e\uff0c\u6700\u5148\u9032\u7684\u4e09\u7a2e\u7b97 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":505,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[13],"tags":[25],"class_list":["post-194","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-13","tag-25"],"_links":{"self":[{"href":"https:\/\/por.tw\/seo\/wp-json\/wp\/v2\/posts\/194"}],"collection":[{"href":"https:\/\/por.tw\/seo\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/por.tw\/seo\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/por.tw\/seo\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/por.tw\/seo\/wp-json\/wp\/v2\/comments?post=194"}],"version-history":[{"count":0,"href":"https:\/\/por.tw\/seo\/wp-json\/wp\/v2\/posts\/194\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/por.tw\/seo\/wp-json\/wp\/v2\/media\/505"}],"wp:attachment":[{"href":"https:\/\/por.tw\/seo\/wp-json\/wp\/v2\/media?parent=194"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/por.tw\/seo\/wp-json\/wp\/v2\/categories?post=194"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/por.tw\/seo\/wp-json\/wp\/v2\/tags?post=194"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}