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TachiEltle (คุย | มีส่วนร่วม) |
TachiEltle (คุย | มีส่วนร่วม) |
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| แถว 1: | แถว 1: | ||
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| − | == | + | == ÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂòÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂçÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂôÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂñÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂâÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂõÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂùÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂêÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂùÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂà== |
| − | * | + | * ÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂñÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂ¥ÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂãÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂôÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂöÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂáÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂãÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂòÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂùÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂ¥ÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂðÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂùÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂãÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂ÷ÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂùÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂòÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂâ (graph and network algorithms) |
| − | * | + | * ÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂñÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂ¥ÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂãÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂôÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂöÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂáÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂùÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂôÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂãÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂðÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂáÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂòÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂà(approximation algorithms) |
| − | * | + | * ÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂäÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂéÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂõÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂòÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂãÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂùÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂãÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂõÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂâÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂãÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂùÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂùÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂùÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂôÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂóÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂçÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂà(computational learning theory) |
| − | == | + | == ÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂêÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂòÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂõÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂùÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂôÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂùÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂà== |
| − | == | + | == ÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂùÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂîÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂáÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂùÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂà== |
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รุ่นแก้ไขเมื่อ 19:34, 19 กันยายน 2552
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ÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂòÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂçÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂôÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂñÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂâÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂõÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂùÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂêÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂùÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂ
- ÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂñÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂ¥ÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂãÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂôÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂöÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂáÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂãÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂòÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂùÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂ¥ÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂðÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂùÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂãÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂ÷ÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂùÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂòÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂâ (graph and network algorithms)
- ÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂñÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂ¥ÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂãÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂôÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂöÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂáÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂùÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂôÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂãÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂðÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂáÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂòÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂà(approximation algorithms)
- ÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂäÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂéÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂõÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂòÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂãÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂùÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂãÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂõÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂâÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂãÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂùÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂùÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂùÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂôÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂóÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂçÃÂÃÂÃÂÃÂÃÂÃÂÃÂàÃÂÃÂÃÂÃÂÃÂÃÂÃÂøÃÂÃÂÃÂÃÂÃÂÃÂÃÂà(computational learning theory)
