|
 |
An Audience of One |
|
| 저자 | Srinivas Rao |
| 출판사 | Portfolio |
|
 |
鍮꾪��嫄곕━�뒗 以묎뎅, 誘멸뎅��� �뼱�뼡 寃곗젙�쓣 |
|
| 以묎뎅��� 誘멸뎅�씠 吏�諛고븯�뒗 �꽭怨� 援ъ“濡쒕���꽣�쓽 �깉異쒖쓣 轅덇씀怨�, 21�꽭湲곕�� 吏�諛고븯�뒗 珥덇컯���援��쑝濡� �굹�븘媛�湲� �쐞�븳 �뻾蹂대�� �씠�뼱媛�怨� �엳吏�留�, �쁽�떎��� �뼱�뼚�븷源�? 以묎뎅�뿉�꽌 �쁽�옱 �씪�뼱�굹怨� �엳�뒗 �씪�쓣 愿�李고븯硫� �씠 吏덈Ц�뿉 ����븳 �떟�쓣 �뼱�뒓 �젙�룄 援ы븷 �닔 �엳�떎. 媛곸쥌 �궃�젣�뿉 吏곷㈃�븳 以묎뎅, �굹癒몄�� �꽭怨꾩뿉 �겮移섎뒗 �쁺�뼢��� 臾댁뾿�씤媛�? �씠 怨쇱젙�뿉�꽌 媛��옣 �겙 �쁺�뼢�쓣 �겮移섍퀬 �엳�뒗 誘멸뎅�쓽 �꽑�깮��� 臾댁뾿�씪源�? |
|
|
 |
MegaThreats: Ten Dan |
|
| 저자 | Nouriel Roubini |
| 출판사 | Little, Brown and Company |
|
 |
�떖由щ㈃�꽌 嫄닿컯�븯寃� �궛�떎�뒗 寃� |
|
| 저자 | �떚紐⑥떆 �끃�뒪(�뿭�옄: �씠寃쎈몢) |
| 출판사 | 吏��떇怨듭옉�냼 |
|
 |
Genetic Algorithms A |
|
| A significant challenge in managing today��셲 enterprise is quickly and effectively choosing among a large number of complex options and alternatives with subtle trade-offs. Fortunately, new computer applications using genetic algorithms can do a much better job at making these choices than a person using traditional analytical techniques. |
|
|
[176]권 
